Find AI Work That Works for You

false

About LightfieldLightfield is a next-generation CRM that automatically captures customer interactions like emails, meetings, and support tickets and organizes them into structured CRM data, enabling deep analysis of customer activity and powerful automation.Unlike traditional CRMs, Lightfield continuously learns from how you sell and who you sell to, directly from the words of customers and actual workflows in the system. With this data, Lightfield proactively manages customer tasks, automates personalized customer communication, and delivers the visibility and insights needed for teams to continually refine their go-to-market strategy.The company is initially focused on becoming the first comprehensive system of record and go-to-market platform for high-growth technology companies. With a flexible and scalable model for data capture and organization, Lightfield is designed to be the last CRM and GTM-automation tool our companies will ever need.Our team previously built Tome, a generative AI presentation product used by over 25 million people, gaining deep expertise in context management, effective evaluation loops, and user-interaction design for generative AI. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, and Salesforce.About the roleWe’re looking for an experienced senior/staff engineer (5+ years of experience) who is product-minded, eager to tackle the challenge of building highly scalable, performant, and reliable features and systems that deliver exceptionally innovative AI product experiences. At Lightfield, engineers take end-to-end ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what’s possible in applied AI systems development. You’ll work alongside a talented team to deliver industry-leading solutions and play a key role in shaping Lightfield’s product and technical vision.What you’ll doCollaborate with product leaders to define strategic initiatives, identify critical customer problems, and drive requirements into technical execution.Build and maintain complex full-stack product features and systems, end-to-end, ensuring reliability, scalability, and performance.Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement.Lead technical design discussions, mentor teammates at multiple levels, conduct thorough code reviews, and help set engineering best practices and standards.Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing.Who you are5+ years of experience in software development, with a strong background in both front-end and back-end technologies.Experience building large-scale, high-performance, and mission-critical systems that support complex customer workflows and large-scale data processing.You’re excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them.You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.Proven ability to design, architect, and scale distributed systems in production environments.Strong fundamentals in software engineering, with a degree in Computer Science or a related field (or equivalent industry experience).Thrives in ambiguity, able to independently scope, plan, and lead projects while delivering results in a fast-moving environment.Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable.Benefits & PerksCompetitive salaryMeaningful early equityHealth insurance (medical, dental, vision)3 weeks of PTO11 paid company holidays + we enjoy a winter holiday break3 months of paid family leaveWednesdays work from homeRegular team dinners, events, offsites, and retreats401k planOther perks include: commuter and lunch stipend

true

We are an applied AI lab building end-to-end software agents.We’re the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.About the RoleAt Cognition, customers are our highest priority. Deployed Engineers (DEs) are customer-facing technical experts who help our customers maximize the value they get out of Devin. You'll lead all technical aspects of our pre-sales process, designing compelling product demos, executing pilots, and working closely with engineering organizations to identify and delegate the right use cases to Devin. Beyond initial engagement, you'll design and deliver ongoing training programs and enablement resources to help customers roll out Devin to thousands of engineers.You’ll be successful in this role if you have a technical background – either studied computer science or have extensive experience leading highly technical sales engagements – and if you love building, and if you embody the drive and grit required to win in a fast-paced, high-intensity environment.In this role, you will:Own all technical aspects of the customer lifecycle—from deployment through activation, making sure our customers are successful using DevinWork closely with customers to understand their technical challenges and identify the best use cases for Devin to be a productive contributorBuild deep relationships with our customers’ engineering teams to ensure smooth product integration and adoption, activating top users and driving product utilizationBuild! Always listen to customer feedback, have a bias towards implementing requested features yourself, and advocate for the customers’ needs with the rest of the teamBe the customer oracle! Exercise your product instincts to help set the roadmapRequirements for the role:Degree in a STEM fieldProven track record of successful enterprise deployments in previous GTM or forward deployed engineering rolesYou’re a natural relationship-builder, an excellent communicator and feel comfortable talking about complex technical topics with customers in all roles and levelsThrive in ambiguous and rapidly changing environments — you’re willing to move fast and quickly grow in scope and responsibilityYou have a demonstrated exceptional ability to learnYou might excel if you…have sold highly technical productshave worked as a software engineerpreviously founded a startupare a competitive, highly ambitious person who loves working in high-intensity environmentsthrive in roles that require you to context switch quickly and handle a broad range of technical and non-technical problemslike grinding

false

About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs a Growth Engineer at AirOps, you'll focus on building product-led experiences designed to attract, engage, and convert prospective customers. You'll develop extensions of the AirOps product that drive organic interest and foster deeper user engagement with our platform. Your work will directly influence how potential customers discover AirOps and interact with our offerings, partnering closely with leadership to drive business growth through innovative, scalable systems and technology.Key ResponsibilitiesDesign and implement product features and interactive experiences that expose new audiences to AirOps and showcase value.Collaborate with the product and engineering teams to ideate and ship extensions and integrations that engage prospects.Use data and feedback to iterate on product-led growth initiatives, optimizing for user activation and conversion.Build and leverage internal tools and automation to scale outreach and measure the impact of growth experiments.Partner with stakeholders across teams to align growth engineering efforts with company objectives.Qualifications2+ years of experience in software engineering, growth, product, or startup environments.Demonstrated ability to take ideas from concept through execution within a product-focused context.Comfort with growth tooling and product analytics platforms.Ability to thrive in a fast-paced startup setting with a high degree of autonomy.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

false

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are looking for a skilled Senior Network Engineer with a strong background in both cloud network administration (AWS, Azure, GCP) and on-premise Cisco networking, including switching and wireless technologies. The ideal candidate will be experienced in managing hybrid environments, configuring firewalls, implementing SD-WAN solutions, and delivering exceptional customer service. This candidate also needs to be experienced in a start-up company environment and be team oriented.  This role plays a critical part in maintaining the integrity, performance, and security of both cloud and on-site network infrastructure for our organization and its clients. Responsibilities: Cloud Network Administration: Design, configure, and support virtual networks, routing, VPNs, and load balancing in AWS, Azure, and GCP. Administer cloud network components (e.g., VPCs, Transit Gateways, Azure VNets, GCP Interconnects). Ensure cloud networking aligns with enterprise security and performance standards. Automate cloud network provisioning using tools like Terraform, CloudFormation, or ARM templates. Monitor and troubleshoot cloud network performance and incidents.  Lead efforts to audit, standardize, and secure Azure networking resources, transforming a loosely managed environment into a well-governed, cost-optimized, and scalable architecture On-Premise Networking: Deploy, configure, and manage Cisco switching and wireless solutions. Maintain wired and wireless network availability across corporate offices. Diagnose and resolve issues related to switches, APs, controllers, and PoE devices. Security & WAN Technologies: Configure and manage firewalls (e.g., Cisco ASA/Firepower, Palo Alto). Implement and support SD-WAN technologies for secure, optimized wide-area connectivity. Ensure network compliance with internal security policies and industry standards. Customer Service & Support: Serve as a point of contact for internal stakeholders and clients on network-related issues. Provide high-quality support, documentation, and communication throughout project lifecycles. Participate in on-call rotations and respond to escalations with professionalism and urgency. Requirements:  Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience). 7+ years of hands-on experience in network engineering and cloud administration. Solid experience with: AWS, Azure, and Google Cloud Platform networking components. Experience with AWS Direct Connect or Azure ExpressRoute is a plus. Cisco switching (Layer 2/3) and wireless infrastructure. Experience with Cisco DNS/Catalyst Center is a plus. Firewall configuration and management. SD-WAN solutions (e.g., Cisco Viptela, Velo Cloud, Fatpipe). Strong understanding of networking protocols (TCP/IP, BGP, OSPF, DHCP, DNS, VLANs, etc.). Proficiency in network monitoring and diagnostic tools (e.g., Wireshark, SolarWinds, NetFlow). Excellent communication and customer service skills. Bonus Qualifications:  Relevant certifications, such as: Cisco (CCNA, CCNP) AWS Certified Advanced Networking Azure Network Engineer Associate Google Professional Cloud Network Engineer Experience working in hybrid IT environments (on-prem + cloud). Familiarity with Zero Trust architecture and secure cloud networking principles. Early stage start up experience. Strong problem-solving and troubleshooting skills. Ability to communicate complex technical concepts to non-technical stakeholders. Detail-oriented with a proactive and collaborative mindset. Comfortable working independently and as part of a cross-functional team, in a high paced start-up company environment. The US base salary range for this full-time position is between $180,000 - $240,000 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. 

false

About the teamThe Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.About the RoleWe are seeking a technically proficient, business-minded Solutions Architect to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead.This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale.Provide proactive guidance to maximize business impact and accelerate application development.Experiment and prototype alongside customers, demonstrating practical use cases.Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.Synthesize and deliver valuable feedback to the Product and Research teams.Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.You’ll thrive in this role if you:Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.Have passion for startups and a belief in their potential to become future large enterprises.Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.Built and/or delivered prototypes on top of our API platform.Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.About 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.

false

Why Delphi? At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by.The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think.Our mission is bold:Make human wisdom abundant, personalized, and discoverable.Preserve legacies, unlock opportunities, and scale brilliance across generations.Delphi becomes everyone's living profile to show what you know.We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them here). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here.Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more.Learn more about Delphi and this position by calling the CEO’s digital mind here!The RoleWe're seeking an experienced Prompt Engineer to join our AI team. You'll design and optimize prompts for large language models, pushing the boundaries of AI capabilities while building practical solutions for complex research challenges.What You'll DoDesign and optimize complex prompts for various LLMs to train our mind architecture.Develop systematic approaches using few-shot learning, chain-of-thought reasoning, and advanced prompting techniquesCollaborate with research scientists to integrate prompt engineering into AI research projectsConduct experiments to evaluate prompt performance and document best practicesStay current with latest developments in prompt engineering and contribute to research publicationsWhat You BringMinimum 2 years of hands-on prompt engineering experience with production LLM applicationsBachelor's degree in Computer Science, AI/ML, Linguistics, or related technical fieldExtensive experience with multiple LLM APIs and platforms (OpenAI, Anthropic, Google)Strong understanding of transformer architectures and natural language processingExperience with systematic prompt evaluation and A/B testing methodologiesResearch background in NLP/ML preferred; published work in prompt engineering a plusWhy You'll Love It Here We work on hard problems. Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives.There is extreme upside. Very competitive salary and equity in a company on a breakout trajectory.We push each other. Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.BenefitsUnlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together.Health, Dental, Vision: Comprehensive coverage to keep to take care of your health.401k covered by Human Interest.Relocation support to SF (as needed)If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.

false

About Brain Co.Brain Co. is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary AI Product Engineer with a passion for AI to join us. You'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.About The RoleAs an AI Product Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces to developing scalable back-end systems, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills.Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.You Might Thrive In This Role If You:Are eager to travel to customer locations globally for 6+ months and work directly with SMEs and end-usersMinimum 2+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zeroExperience with front-end and back-end technologies, microservices, and cloud platformsExperience with modern web tooling such as React, Typescript, RESTful APIs, and database management systemsExhibit excellent problem-solving and analytical skills, with a proactive approach to challengesEnjoys working collaboratively with cross-functional teamsThrive in fast-paced environments where priorities or deadlines may compete.Eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job doneNice to Have:Experience working on on-site engineering projects or in client-facing roles (Forward-Deployed Engineer, Solutions Engineer, Integration Engineer, Sales Engineer, Customer Engineer)Knowledge of Arabic or other regional languages is a plus.Possess a strong foundation in software design principles, data structures, and algorithmsHold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related fieldBenefitsCompetitive salary plus equityCommuter benefits401(k)Medical, Dental and VisionUnlimited PTO

false

Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. If you are an expert in post-training Diffusion models for generative AI, this is your chance. This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe. In this position, you’ll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases. This includes projects such as: Apply DPO (direct preference optimisation) to pre-trained models. Adapt models to extend their capabilities, for instance, by changing conditioning inputs. Build solutions for dubbing and evaluate the quality of lip-sync. Implement post-training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation. Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision / Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient attention) You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain. You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/CD Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security. The good stuff... Competitive compensation (salary + stock options + bonus) Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.  25 days of annual leave + public holidays Great company culture with the option to join regular planning and socials at our hubs + other benefits depending on your location You can see more about Who we are and How we work here: https://www.synthesia.io/careers  LI-MD1  

false

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 RoleJasper Research is seeking a highly motivated intern to advance the frontiers of open source image-generation and image-editing applications. In this role, you will be instrumental in developing new state-of-the-art open-source text-to-image and image editing models while collaborating closely with our talented team of researchers and engineers. The internship duration is 6 months.We have historically relied on third-party existing open-source image foundational models for its core applications (replace-background, image uncropping, image relighting …), mastering model fine-tuning methods. One of the team’s current core projects consists now of building our own open-weights foundational text-to-image model from scratch.This role is open to candidates located in Paris. It will be a hybrid setup, which requires you to come into the office when necessary. What you will do at JasperAs a Research Scientist Intern, you will work closely with our research team to design and implement new methods to improve the sampling speed of diffusion models, such as, amongst others, re-flow, shortcut models or adversarial diffusion distillation. This role offers a unique opportunity to contribute to the development of a foundational open-source model, addressing challenges in scalability, fidelity, and generalization. You will engage in both theoretical and applied research, collaborating with experts in machine learning, computer vision, and natural language processing. The main goals of this internship are:Research & Development: Conduct literature reviews, propose and implement innovative methods to accelerate the sampling from diffusion models in the context of text-to-image and image editing.Model Training & Evaluation: Participate in the fine-tuning stages of the training of large-scale text-to-image models, conduct rigorous ablations, design evaluation metrics, and analyze model performance.Documentation & Communication: Document research findings, prepare technical reports, and participate in the external communication of the results.Open Source & Community: Contribute to an ambitious open-source project, publish research findings, and engage with the broader AI community.What you will bring to JasperCurrently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D, preferred).Experience with distillation and/or improved sampling techniques for diffusion modelsA genuine interest in the field and a strong motivation to contribute to open-source initiatives, with a potentially proven track record through personal projects or previous experience in deep learning, especially generative models (e.g., diffusion models, GANs, VAEs, transformers).Strong coding abilities in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).The ideal candidate will possess a strong critical thinking and problem-solving mindset, coupled with excellent teamwork skills.Being available for period of 6 months.Nice to haveStrong programming Python skills, including software engineering best practices to produce high-quality code.Experience with distributed training and large-scale systems on GPU clustersExperience with large-scale data processingContributions to open-source projects.Proven track record of achieving significant results as demonstrated by first-authored publications in major conferences and journals such as CVPR, ECCV, ICCV, ICLR, NeurIPSBenefits & PerksFlexible, hybrid work environment. Our office is based at Station F in Paris, the vibrant hub of the French startup ecosystem. Our efficient and lean team at Station F thrives on innovation and collaboration.Competitive compensation package

false

About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for an Application Security Engineer with a primary focus on ensuring that our entire technology stack is free of software vulnerabilities (CVEs). This role is responsible for securing our base OS images, ensuring all open-source software (OSS) dependencies are scanned and patched, and integrating cutting-edge security tools into our CI/CD pipeline. The ideal candidate will drive the adoption of solutions like Google’s Assured Open Source Software (OSS) and explore alternative approaches to enhance software security. You will: Implement and improve the vulnerability management lifecycle, ensuring our entire tech stack is free from known vulnerabilities/CVEs. Continuously scan, monitor, and patch OSS dependencies to mitigate supply chain risks and enforce best practices for dependency management. Work closely with engineering teams to integrate state-of-the-art SAST, DAST, and dependency scanning tools into the CI/CD pipeline to detect and remediate vulnerabilities early. Define and maintain best practices for secure coding to ensure all code developed by Glean engineers is free from vulnerabilities. Ensure secure posture in SDLC by securing designs, conducting secure code reviews and penetration testing the features. Develop automated security validation tests to enforce vulnerability-free deployments across the stack. Lead the adoption and, if necessary, develop custom security solutions to manage and mitigate security risks at scale. Provide security guidance, training, and mentorship to engineering teams to foster a security-first culture at Glean. About you: BA/BS in Computer Science, Cybersecurity, or a related field (or equivalent industry experience). 5+ years of experience in application security and vulnerability management. Deep understanding of software security vulnerabilities, including CVEs, OWASP Top 10, and supply chain risks. Deep understanding security design principles including but not limited to authentication, authorisation, RBAC, database security. Experience with SAST, DAST, dependency scanning, and vulnerability management tools (e.g., Snyk, GitHub Dependabot, Trivy, Clair, Burp Suite, OWASP ZAP). Strong familiarity with package managers (npm, pip, Maven, Go modules) and securing open-source dependencies. Coding experience in languages such as Go, Python, Java, or C++ to develop security test cases and tooling. Hands-on experience with cloud-native security best practices across AWS, GCP, or Azure. Knowledge of container security, Kubernetes security, and securing microservices architectures. Ability to lead cross-functional initiatives and drive security adoption within engineering teams. A strong proactive approach to security, identifying risks before they become problems. Excellent problem-solving skills and the ability to balance security with performance and usability. Experience working in fast-paced, highly collaborative environments where security is a shared responsibility. Passion for open-source security and keeping up with the latest trends in software vulnerability management. Location: This role is hybrid (3 days a week in our Bangalore office) We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

false

About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs Lead Data Engineer, you will own and scale the data platform that powers AirOps insights on AI search visibility and content performance. You will set technical direction, write production code, and build a small, high-output team that turns raw web, content, and AI agent data into trustworthy datasets. Your work will drive customer-facing analytics and product features while giving our content and growth teams a clear path from strategy to execution. You value extreme ownership, sweat the details on data quality, and love partnering across functions to ship fast without losing rigor.Key ResponsibilitiesData platform ownership: design, build, and operate batch and streaming pipelines that ingest data from crawlers, partner APIs, product analytics, and CRM.Core modeling: define and maintain company-wide models for content entities, search queries, rankings, AI agent answers, engagement, and revenue attribution.Orchestration and CI: implement workflow management with Airflow or Prefect, dbt-based transformations, version control, and automated testing.Data quality and observability: set SLAs, add tests and data contracts, monitor lineage and freshness, and lead root cause analysis.Warehouse and storage: run Snowflake or BigQuery and Postgres with strong performance, cost management, and partitioning strategies.Semantic layer and metrics: deliver clear, documented metrics datasets that power dashboards, experiments, and product activation.Product and customer impact: partner with Product and Customer teams to define tracking plans and measure content impact across on-site and off-site channels.Tooling and vendors: evaluate, select, and integrate the right tools for ingestion, enrichment, observability, and reverse ETL.Team leadership: hire, mentor, and level up data and analytics engineers; establish code standards, review practices, and runbooks.Qualifications5+ years in data engineering with 2+ years leading projectsExpert SQL and Python with deep experience building production pipelines at scaleHands-on with dbt and a workflow manager such as Airflow or PrefectStrong background in dimensional and event-driven modeling and a company-wide metrics layerExperience with Snowflake or BigQuery, plus Postgres for transactional use casesTrack record building data products for analytics and customer reportingCloud experience on AWS or GCP and infrastructure as code such as TerraformDomain experience in SEO, content analytics, or growth experimentation is a plusClear communicator with a bias for action, curiosity, and a high bar for qualityOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

false

Building the Open Superintelligence Lab Prime 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 customer facing role at the intersection of cutting-edge RL/post-training methods and applied agent systems. You’ll have a direct impact on shaping how advanced models are aligned, deployed, and used in the real world by:Advancing Agent Capabilities: Designing and iterating on next-generation AI agents that tackle real workloads—workflow automation, reasoning-intensive tasks, and decision-making at scale.Building Robust Infrastructure: Developing the distributed systems and coordination frameworks that enable these agents to operate reliably, efficiently, and at massive scale.Bridge Between Customers & Research: Translate customer needs into clear technical requirements that guide product and research priorities.Prototype in the Field: Rapidly design and deploy agents, evals, and harnesses alongside customers to validate solutions. Customer-Facing EngineeringWork side-by-side with customers to deeply understand workflows and bottlenecks.Prototype agents and eval harnesses tailored to real use cases, then hand off hardened systems to core teams.Translate customer insights into roadmap and research direction.Post-training & Reinforcement LearningDesign and implement novel RL and post-training methods (RLHF, RLVR, GRPO, etc.) to align large models with domain-specific tasks.Build evaluation harnesses and verifiers to measure reasoning, robustness, and agentic behavior in real-world workflows.Prototype multi-agent and memory-augmented systems to expand capabilities for customer-facing solutions.Agent Development & InfrastructureRapidly prototype and iterate on AI agents for automation, workflow orchestration, and decision-making.Extend and integrate with agent frameworks to support evolving feature requests and performance requirements.Architect and maintain distributed training/inference pipelines, ensuring scalability and cost efficiency.Develop observability and monitoring (Prometheus, Grafana, tracing) to ensure reliability and performance in production deployments..RequirementsStrong background in machine learning engineering, with experience in post-training, RL, or large-scale model alignment.Deep expertise in distributed training/inference frameworks (e.g., vLLM, sglang, Ray, Accelerate).Experience deploying containerized systems at scale (Docker, Kubernetes, Terraform).Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.Passion for advancing the state-of-the-art in reasoning and building practical, agentic AI systems.What We OfferCompetitive Compensation + equity incentivesFlexible Work (remote or San Francisco)Visa Sponsorship & relocation supportProfessional Development budgetTeam Off-sites & conference attendance Growth OpportunityYou’ll join a mission-driven team working at the frontier of open, superintelligence infra. In this role, you’ll have the opportunity to:Shape the evolution of agent-driven solutions—from research breakthroughs to production systems used by real customers.Collaborate with leading researchers, engineers, and partners pushing the boundaries of RL and post-training.Grow with a fast-moving organization where your contributions directly influence both the technical direction and the broader AI ecosystem.If you’re excited to move fast, build boldly, and help define how agentic AI is developed and deployed, we’d love to hear from you.Ready to build the open superintelligence infrastructure of tomorrow? Apply now to help us make powerful, open AGI accessible to everyone.

false

🎨 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!📝 Background and Responsibilities:We are building a new team in US to hack and build our next generation smart AI video maker that can ingest user's content and compose quality videos for the social media. This product will be considered impossible before but you make people change their mind.You will be working closely with the product, marketing to rush prototype, beta and the production version of this impossible product using agent technology.Our tech stack: GCP, Typescript, Python, Redis/MongoDB/Cloud Storage, lots of AI models📝 Qualifications:Keywords: ambitious, scrappy, generalist, growth mindset, tasteBachelor'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). Strong product and business sense and can build product based on customers' needs. You love building a product from the ground up. You can solve agent reliability problems using creative methods.Good understanding of software engineering principles and best practices. Good judgement on when to hack and when to craft.Open to work with senior engineers across the Asia time zone, including periodic evening meetings, and excited to work on-site with our teammates in our office.📝 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 don't know how to use Cursor or other AI coding tools.You cannot code without Cursor or other AI coding tools.You think scrappiness is all you need and production is the same as prototyping.📝 Preferred:Experience with building AI agents (with dynamic planning capability), including tool call, memory, evaluation systems.Previously built product as individual developer as your side projects.📝 Location (On-site):Palo Alto, CAWe have programs on Sundays to hack & learn that we expect the team to attendEEOOpusClip 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.

false

Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: The Data team manages the complete lifecycle of data for researchers - from sourcing and large-scale processing to delivering datasets that power our models. Data sits at the heart of our Research efforts and enables all other teams. As part of the Data team, you’ll work with over a million hours of video and audio data.  This role exists at the intersection of applied research, data engineering, and ML infrastructure rather than being a traditional research position. You’ll build the world’s best human-centric data lake by collaborating closely with our model training teams. By understanding their requirements, you’ll extract new features and annotations that elevate our datasets. You should be passionate about enhancing model performance through high-quality, accurate datasets. Our infrastructure and pipelines are in great shape, and this role provides room to not only enhance them but also influence the team’s longer-term strategy. What we're looking for: Background in Computer Science, Computer Vision, or Audio ML Experience working in deep learning teams and production environments Strong Python skills and a passion for clean, maintainable code Hands-on experience with workflow orchestration Interest in large-scale, non-tabular data (video, audio, images) Bonus point if you have experience in:  Processing large volumes of data in the video and/or audio domain Working on the data side of a GenAI product Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security. The good stuff... Competitive compensation (salary + stock options + bonus) Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.  25 days of annual leave + public holidays Great company culture with the option to join regular planning and socials at our hubs + other benefits depending on your location   #LI-MD1  

true

<This Is a Remote Role> About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

false

As Head of Partnerships, you will lead Descript’s ecosystem strategy, forging and scaling relationships that drive distribution, unlock commercial opportunities, and enhance our product capabilities through integrations. This is a highly cross-functional, product-oriented partnerships role that blends business development, product strategy, and co-marketing. You will own the end-to-end partnerships strategy—from identifying high-potential opportunities, to structuring agreements, to ensuring ongoing success and adoption. This role requires strong product intuition, deep experience in partnerships, and the ability to represent Descript credibly with senior leaders across technology, AI, and media industries. Key Responsibilities Ecosystem & Strategy Define and execute Descript’s partnerships roadmap across distribution, integrations, bundling opportunities. Identify long-range strategic opportunities with emerging players in AI, generative media, creator ecosystems, and adjacent markets. Own executive-level relationships with strategic partners, including AI platforms, content networks, and technology providers. Distribution & Growth Expand Descript’s reach through integration-driven distribution (e.g., embedding Descript in content platforms, LMS, and creator tools). Lead go-to-market motions with partners to drive ARR, including headless API and platform integrations. Build scalable frameworks for identifying, evaluating, and closing new ARR-generating partners. Co-Marketing & Awareness Drive joint campaigns, launches, and partner-led events to create visibility and awareness for Descript. Collaborate with marketing to amplify integrations and partnership wins across channels. Product Integrations Collaborate with Product and Engineering to identify and deliver integrations that close feature gaps and improve user experience. Ensure integrations create clear, differentiated value for Descript’s users while deepening product stickiness. Partner with technical and product teams on go-to-market for new integrations. Relationship Management Build and maintain trusted, long-term relationships with partner executives and decision-makers. Ensure ongoing alignment and momentum across multiple active partnerships. What Success Looks Like New ARR generated through distribution and reseller partnerships. High-impact integrations that enhance product stickiness and fill feature gaps. Increased brand visibility through joint marketing initiatives and industry events. Strong, strategic relationships across the AI, generative media, and social ecosystems. A scalable partnership framework that balances commercial and product value. About You Experience: 8+ years in partnerships, ecosystem development, or business development at a high-growth SaaS, AI, or media technology company. Track Record: Proven success building integration- and distribution-driven partnerships that accelerate growth and strengthen product experience. Product Fluency: Deep technical and product intuition; comfortable working closely with product managers and engineers. AI/Media Knowledge: Strong knowledge of generative AI, media, or creator ecosystems. Existing industry relationships a plus. Strategic + Hands-On: Equally skilled at setting partnership strategy and executing deals from sourcing to launch. Collaborative: Works seamlessly across product, engineering, marketing, and executive teams. Not Sales-Quota Driven: Experienced in partnerships rather than direct quota-carrying sales roles. The base salary range for this role is $180,000 - $240,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, and location, and may vary from the amount above.  About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

true

< REMOTE - United States >  Job Description: We are seeking a dynamic and experienced Senior Counsel, Product and Privacy to join our legal team. You will serve as a primary legal contact for the product, research, and engineering organizations, and you will play a critical role in ensuring the legal compliance and risk management of our products and services. The role will require the candidate to take a proactive role in product counseling and advancing our privacy compliance program.    You will have the opportunity to provide legal counsel in a dynamic industry with few legal precedents, brand new legal questions and concerns, and quickly evolving business models. Curiosity, the willingness to learn about new technologies, and the ability to translate an engineer’s technical explanations into actionable legal mitigation measures and contractual provisions is a must.  This is a remote role. Although we are a global company, we are currently seeking candidates in the United States.      Responsibilities: Serve as lead product and privacy counsel to multiple product teams Gain an in-depth understanding of Stability’s products and development processes, including their strengths, limitations, and vulnerabilities from a legal, security, and ethical standpoint Provide expert legal advice and guidance to product, design, and engineering teams to ensure Stability’s products and development processes comply with all laws, industry standards, and its own ethical guidelines  Work with product managers, engineering, release management, and security teams to continually develop a set of policies, processes, and documentation governing all data and product releases to ensure thorough legal review Ensure compliance with applicable global privacy and data security laws Work closely with the infosec team to manage incident response and attend to proper data security procedures Track and provide guidance on global laws pertaining to AI products and services, and collaborate with the product team in implementing ethical and safety initiatives for our AI products/services Provide guidance on copyright issues, including as they apply to the development and licensing of datasets used to train our AI models, the output of our generative AI products and services, and the hosting of content (such as the DMCA and Article 17) Ensure compliance with global trade regulations, including US export control laws and the Trade Agreements Act Provide frontline assistance to the commercial team in understanding Stability’s technology, licensing frameworks, and IP strategy on an ongoing basis   Conduct legal research and stay up-to-date with industry trends, regulatory changes, legal precedents, and emerging technologies that may impact Stability AI's products Qualifications: Juris Doctor (JD) degree from an accredited law school and active bar membership in good standing 10+ years of experience as an attorney, with a focus on technology product counseling, privacy, and intellectual property Previous in-house experience as a product counselor at a technology company Deep understanding of data privacy law (e.g., GDPR, CCPA), emerging AI law (e.g., EU AU Act), and consumer protection law Experience building and maintaining data privacy compliance programs Passionate about obtaining a deep understanding of the inner-workings of AI technology Ability to address problems creatively with an open mind  Practical approach to commercially reasonable risk mitigation in the face of both legal and business uncertainty Excellent analytical, communication, and problem-solving skills, with the ability to distill complex legal concepts into clear and actionable guidance for non-legal stakeholders Ability to work independently and collaboratively in a fast-paced, dynamic environment Experience working with cross-functional teams and effectively managing multiple priorities Proactive mindset to identify and address legal risks High level of integrity, professionalism, and attention to detail Flexibility to adapt to evolving priorities  Ability to foster relationships and collaborate with internal clients Sense of humor and inquisitive attitude focused on problem solving and consensus-building Preferred Qualifications: An understanding of data use in the context of generative AI model training and related risks/opportunities Experience with open source software licensing, data licensing, or source-available licensing, as well as open source development and open source communities Privacy and data security certifications (CIPP/US, CIPP/E) Experience developing and revising terms of service and privacy policy updates for global technology companies Deep curiosity of emerging technologies, including AI and data analytics, as well as knowledge of the emerging regulatory developments affecting them Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

false

YOUR MISSION Join us in reimagining customer experience with Agentic AI. As a Principal Software Engineer (f/m/d), you will play a critical role in shaping Parloa’s engineering strategy and architecture while staying close to the code. This role is about building resilient, enterprise-grade systems that can scale globally and helping us set the benchmark for engineering excellence in Europe and beyond. IN THIS ROLE YOU WILL Deliver business value by writing code every day. Define and drive technical strategy across multiple domains and org-wide initiatives. Lead cross-team architecture and ensure solutions scale globally for enterprise adoption. Balance short-term velocity with long-term resilience, making smart trade-offs on complexity, cost, and scalability. Remain hands-on - whether writing foundational code, leading design reviews, or refactoring key systems. Act as a force multiplier by mentoring Staff Engineers and influencing the careers of future Principal-level talent. Serve as a trusted advisor to leadership, ensuring engineering capacity matches market and customer demands. Set cultural standards for fearless iteration, bias for action, and pragmatic perfectionism—design for tomorrow, build for today. OUR TECH STACK: TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS  WHO YOU ARE A seasoned technical leader (typically 12–15+ years) with a track record of org-level or industry-level impact. Deeply experienced in enterprise-scale systems and multi-team architecture leadership. Equally comfortable flying high (strategic vision) and diving deep (technical details). Thrives in ambiguous, high-stakes environments with a strong sense of urgency. Embodies Parloa’s ambition: to build Europe’s leading engineering culture and a world-class AI platform. Motivated by making the impossible possible and building something iconic. Coding every day WHAT’S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to define technical strategy and influence engineering excellence at scale, as part of a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from home and/or our beautiful office in the heart of Berlin with adjustable desks, social areas, fresh fruits, cereals, and drinks. Onsite-first hybrid work environment — while you’ll be mainly based in our Berlin office, we offer flexibility to work from home on some days. Our Values At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you: Earn Trust – act with transparency and reliability. Obsess Over Customers – always start with the customer problem. Think Big – set bold goals and pursue them fearlessly. Have Integrity – do the right thing, especially when it’s hard. Disagree & Commit – debate with candor, align fast, and deliver. Own It – take full responsibility for outcomes, not just tasks. Dive Deep – master the details without losing sight of the big picture. Bias for Action – move fast, decide quickly, iterate fearlessly. Deliver Value – measure success by customer and business impact. Insist on the Highest Standards – raise the bar continuously. Go the Extra Mile – make the impossible possible. Hire & Elevate the Best – raise the bar with every hire YOUR RECRUITING PROCESS AT PARLOA Recruiter Call → Technical Peer Interview → Live coding → System Design → Technical Leadership interview → Bar Raiser  Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

false

About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesBuild AI growth workflows using AirOps that we can use both internally and to productize for customers in different verticalsEvolve our services delivery playbook and resourcing, moving between execution and strategyUse AirOps platform to improve our internal and customer facing processes and prove out new use casesPartner with our Growth, Marketing, Sales, and Product teams to build new templates and workflows aligned to product launches and customer expansion opportunitiesWork cross functionally with engineering, design, CX, growth, and content team members to bring features to market quickly & iterate based on feedbackMonitor key metrics closely; analyze trends/patterns & recommend solutions to improve business outcomes; report findings/recommendations regularly to Exec teamPartner with design team on UX research initiatives aimed at improving customer engagement & conversions throughout the customer journeyTest the product and provide feedback to improve the customer experience and usabilityExperience2 to 6 years experience in Growth, BizOps, Product, Technical Account Mgmt, Analytics, Solution Engineering, or similar role at a high-growth startup; we 💚 former (or future aspiring) foundersComfortable moving fast in a startup where roles and responsibilities are fluidTrack record of running complex, multi-threaded projects in a hybrid environmentExperience with LLMs and AI techniques, including prompt engineering and retrievalExperience automating processes with workflow automation tools like ZapierStrong analytical skills with experience using data to inform decision makingExcellent project management skills, including proficiency in project management tools like Linear, Airtable, and AsanaStrong interest in the intersection between AI and growth, and the emergent capabilities and applications of LLMsFamiliarity with Python and JavaScript preferredSuperb written and verbal communication skills.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

false

About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleWe're looking for a Lead Product Designer who's excited about shaping the future of AI Search. In this role, you'll build products that help brands succeed as AI agents become the main way people discover them. You'll own large portions of our platform experience - from search visibility tools to last-mile editing experiences - that are fundamentally changing how marketing teams drive revenue in the AI era.You thrive on moving fast while tackling complex information architecture challenges. You'll prototype rapidly using tools like Cursor and Figma Make, working directly with content and marketing teams to build intuitive and delightful experiences.Key ResponsibilitiesOwn end-to-end product design for core platform features, from initial concept through launch and iteration based on user feedbackPartner with product and engineering leads to translate AI search visibility challenges into elegant design solutions that content teams actually want to useDesign intuitive workflows for complex tasks like content gap analysis, AI agent optimization, and multi-channel content publishingCreate information hierarchies and data visualizations that make sense of large datasets without overwhelming usersBuild and maintain our design system while establishing patterns that scale across different user personas and use casesConduct user research with content teams, SEO professionals, and marketing leaders to understand their workflows and pain pointsPrototype rapidly to test assumptions and validate design decisions with real users before engineering investmentCollaborate with customer success to understand how teams actually use our platform and where they get stuckHelp define product strategy by identifying opportunities where better design can directly impact customer outcomesMentor junior designers and contribute to building a design culture focused on measurable business impactQualifications6+ years of product design experience with at least 3 years working on B2B SaaS platformsPortfolio demonstrating your ability to simplify complex workflows and data-heavy interfacesExperience designing for technical audiences while maintaining accessibility for non-technical usersStrong understanding of content management systems, SEO tools, or marketing technology platformsFluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and GitTrack record of shipping products that directly impact business metrics and user adoptionAbility to work autonomously while actively seeking feedback and collaborationExcellent written and verbal communication skills with the ability to articulate design decisions to stakeholdersComfort with ambiguity and the ability to define structure where none existsGenuine interest in how AI is changing search, content discovery, and digital marketingOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!