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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.Anduril’s Flight Engineering department is part of the Air Dominance and Strike organization. We are seeking Guidance, Navigation and Control (GNC) Engineers to join our team. The Anduril Flight Engineering team is integral to development of flight system solutions in all domains for our warfighters. As a critical member of our team, the role of a Guidance, Navigation, and Control (GNC) Engineer is pivotal in driving the design, development, testing, and implementation of cutting-edge flight system technologies for our aerospace systems. Anduril fosters a dynamic learning culture, characterized by accelerated knowledge acquisition through modeling, simulation, analysis, and rigorous and frequent ground and flight test experimentation. At Anduril, you will be involved in flight testing the systems you develop.   We are currently looking for highly skilled GNC Engineers with expertise in autonomous safety-critical systems to join our team. The successful candidate will play a pivotal role in developing, testing, and implementing GNC systems and architectures for our aerospace programs. This includes missiles, unmanned air vehicles, and related technology.   WHAT YOU'LL DO Develop, implement, and test algorithms for guidance, navigation, and control systems in line with project requirements. Design, implement, and assess the GNC architectures considering all elements, including spacecraft, sensors, actuators, and algorithms. Use MDAO techniques for the design and optimization of GNC systems, balancing performance, cost, and risk factors. Participate in all phases of system development, from concept to design, prototyping, testing, and operation. Collaborate closely with a multidisciplinary team including systems engineers, flight software engineers, and test engineers to ensure system-wide integration and performance. Contribute to design reviews, safety assessments, and system documentation. Use simulation and analysis tools to verify GNC models and system performance under different operating conditions. Provide system engineering expertise in the development of GNC systems, ensuring a cohesive and efficient approach to the design and implementation process. Troubleshoot and resolve issues related to GNC systems during design, testing, and operational phases. Keep updated with the latest technologies and trends in GNC engineering and system architecture design. REQUIRED QUALIFICATIONS BS in Robotics, Computer Science, Electrical, Mechanical, Mechatronics, Aerospace Engineering or related field with focus on dynamics and control. 7 or more years of experience working on complex air vehicles. A strong theoretical knowledge of classical and modern control theory, estimation, and filtering techniques. Experience with developing GNC solutions for flight systems. Proficiency with GNC simulation tools like MATLAB, Simulink and related toolboxes. Familiarization with 6-DOF simulations. Must be eligible to obtain and maintain a U.S. Top Secret clearance PREFERRED QUALIFICATIONS A Ph.D. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related field is a plus. Strong understanding of flight mechanics and related physics. Practical experience developing GNC designs for flight systems. Extensive experience in GNC system and architecture development and testing, preferably in the aerospace industry. Experience generating in C or C++ code from Simulink models. Proven experience in applying MDAO methods and tools in the design of complex systems. Experience with direct and indirect trajectory optimization methods and  familiarity with trajectory optimization libraries (e.g., GPOPS-ii, DIDO, Dymos, CasADi, or IPOPT). Experience writing code in C/C++ or Rust. Strong analytical, problem-solving, and decision-making skills. Excellent verbal and written communication skills. Ability to work independently and in a team-oriented, collaborative environment. Familiarity with agile and Lean product development methodologies such as Scrum. Experience using Jira, Git, GitHub, or GitLab. Understanding of and compliance with industry, safety, and quality standards appropriate for the application. Passion for defending the United States and its allies. Current Active U.S. Top Secret clearance preferred. ANDURIL PRODUCTS Anduril has been selected as one of two vendors to move forward on the Collaborative Combat Aircraft (CCA) program for the Air Force's flagship autonomous aircraft program. During the next phase, Anduril will design, manufacture, and test production-representative CCAs. We are honored to be part of the program as a non-traditional defense company and are seeking highly motivated candidates to join us in the rapid development of a new, revolutionary aircraft. For more information on the latest with Anduril, visit our Newsroom. Watch this short video showcasing our products at Anduril.   US Salary Range$168,000—$252,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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The Anyscale Technical Program Management (TPM) team is expected to play a critical role executing high impact programs while continuously improving processes to sustainably grow and increase the effectiveness of the Tech organization spanning Design, Engineering and Product teams.As a Technical Program Manager focused on Anyscale’s core product solution, you’ll help lead complex application development in service of enhancing our product platform. In this role, you'll support and help scale the technical solutions that make Anyscale’s products and services possible. As part of the overall development life cycle you’ll plan requirements, identify risks, manage schedules, and communicate clearly with project stakeholders on complex projects with significant bottom line impact.Your Project management contributions will span prioritization, planning of projects and features, stakeholder management, tracking of external commitments while contributing to the organization's technical culture by highlighting and espousing best practices. You’ll learn and grow alongside talented teammates who share your commitment to excellence and appetite for innovative problem-solving. This is a rare opportunity to join in the leadership of a team that will be responsible for building a successful commercial ML/AI oriented solution from the ground up!As part of this role, you will:Help us build and ship our Commercial / OSS productWill work closely with the software development and product teams to deliver high quality, scalable products used by customers around the worldCollaborate with the product teams and align all the stakeholders to assemble project teams, assign responsibilities, identify appropriate resources needed, and develop schedules to ensure timely completion of projects by meeting project milestonesAssess risks, anticipate bottlenecks, provide escalation management, make tradeoffs, balance the business needs versus technical constraints and encourage risk taking behavior to maximize business benefitWork on a diverse technology stack spanning multiple leading commercial cloud providers, big-data solutions and ML algorithmsWe'd love to hear from you if you have:Bachelor’s degree in Computer Science or equivalent technical work experience5+ years of technical work experience 3+ years of experience with Machine Learning projects & platforms3+ years of experience with leading commercial cloud provider platformsSoftware development experience (ability to build and assess systems/platforms)Strong communication skills and can effectively share your work with a broader audience through writing and speakingAbility to handle multiple competing priorities in a fast-paced environmentA deep understanding of software development in a team, and a track record of shipping software on timeAn obsession with contributing to the development of high-performance engineering organizations, are detail driven with excellent problem solving abilities

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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 RoleAs VP of Engineering, you will own and scale Delphi’s engineering organization as we move into our next phase of exponential growth. You’ll set the technical vision, build high-performance teams, and partner closely with product, design, and leadership to to support the next phase of Delphi.This is a role for someone who wants to help shape the future of human connection, scale wisdom for billions, and build something that will outlast us all.What You’ll DoDefine and execute on the technical vision and architecture for systems serving millions of digital minds.Build and lead the engineering organization to a standard of excellence - establish technical precision practices and foster ownership-driven culture where engineers proactively solve problems.Drive engineering execution - consistently ship high-quality systems quickly, balancing speed and durability.Partner cross-functionally with product, design, and leadership to align strategy and deliver ambitious roadmaps.Raise the bar: mentor leaders, establish a world class engineering culture, and ensure Delphi remains a magnet for top talent.What You Bring7+ years of engineering experience, with 2+ years leading teams of 10+ engineers in a hyper-growth, high-expectation environment.A proven track record of building teams and shipping large-scale, high-impact systems.Executive communication skills: can translate between technical and non-technical audiences.First-principles thinker, comfortable navigating ambiguity and inventing new playbooks.Ability to build an ownership-driven engineering culture where teams consistently exceed expectations, beat deadlines, and take complete responsibility for their domains.Why 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.

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About the TeamThe Workload team is responsible for designing and running OpenAI’s LLM training and inference infrastructure that powers frontier models at massive scale. Our systems unify how researchers train and serve models, abstracting away the complexity of performance, parallelism, and execution across vast GPU/accelerator fleets. By providing this foundation, the Workload team ensures that researchers can focus on advancing model capabilities while we handle the scale, efficiency, and reliability required to bring those models to life.About the RoleWe are looking for an engineer to design and implement the dataset infrastructure that powers OpenAI’s next-generation training stack. You will be responsible for building standardized dataset interfaces, scaling pipelines across thousands of GPUs, and proactively testing performance bottlenecks. In this role, you will collaborate closely with the multimodal researchers, and other infra groups to ensure datasets are unified, efficient, and easy to consume.In this role, you will:Design and maintain standardized dataset APIs, including for multimodal (MM) data that cannot fit in memory.Build proactive testing and scale validation pipelines for dataset loading at GPU scale.Collaborate with teammates to integrate datasets seamlessly into training and inference pipelines, ensuring smooth adoption and a great user experience.Document and maintain dataset interfaces so they are discoverable, consistent, and easy for other teams to adopt.Establish safeguards and validation systems to ensure datasets remain reproducible and unchanged once standardized.Debug and resolve performance bottlenecks in distributed dataset loading (e.g., straggler systems slowing global training).Provide visualization and inspection tools to surface errors, bugs, or bottlenecks in datasets.You might thrive in this role if you:Have strong engineering fundamentals with experience in distributed systems, data pipelines, or infrastructure.Have experience building APIs, modular code, and scalable abstractions, while recognizing that abstractions ultimately serve the users and UX is an important part of the abstractions design.Are comfortable debugging bottlenecks across large fleets of machines.Take pride in building infrastructure that “just works,” and find joy in being the guardian of reliability and scale.Are collaborative, humble, and excited to own a foundational (if not glamorous) part of the ML stack. Bonus points if you:Have background knowledge in data math, probability, or distributed data theory.Have worked with GPU-scale distributed systems or dataset scaling for real-time dataAbout 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.

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About the TeamThe Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the RoleWe’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will:Design eval pipelines that are reliable, reproducible, and extendableBuild the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automationDesign, build, and maintain backend services and APIs to support intelligent automation and knowledge systemsIntegrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflowsOwn the full development lifecycle of new backend systems and internal platform capabilitiesBuild with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have:4+ years of backend engineering experience at product-driven companies (excluding internships)Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and PostgresExperience designing and scaling distributed systems, APIs, or data processing pipelinesHave experience building AI agents or applications, including designing evals and improving performance through prompting or scaffoldingAre familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.Experience creating production evals and/or measuring performance of ML/LLM models at scaleA pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term visionAbout 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.

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

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

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YOUR MISSION: We are on a mission to make creating and managing AI voice agents as easy as hiring and onboarding a human. Today, our platform serves highly technical users who configure advanced agent logic. Tomorrow, we envision an experience that keeps the depth and flexibility experts need while becoming more elegant, scalable, and intuitive. As our Lead Product Designer, you will drive the realisation of the design vision for expert-facing workflows such as AI agent setup, configuration tools, and workflow orchestration. You will guide your cross-functional product team in translating this vision into coherent, usable, and technically feasible product experiences that turn complexity into clarity. This is an opportunity to lead design for the core of our platform and define how experts build the next generation of conversational AI agents. IN THIS ROLE YOU WILL: Translate the design vision into your product team’s execution, ensuring clarity and usability across expert-facing workflows. Partner closely with product managers, engineers, and AI specialists to align on priorities, user needs, technical feasibility, and business impact. Balance depth and usability, ensuring powerful configuration capabilities remain approachable and efficient for expert users. Lead UX strategy within your product area, ensuring research insights shape both near-term decisions and long-term improvements. Prototype and explore advanced interaction models for workflows, logic building, and AI orchestration. Contribute hands-on design work while also setting direction and raising the quality of output within your product team. WHAT YOU BRING TO THE TABLE: 8+ years of experience in product design with a proven track record in complex domains, including two years in a lead capacity. Experience designing with AI tools as part of your workflow, for example, prototyping with generative design, exploring AI-assisted research, or testing adaptive experiences. Ability to design for configuration-heavy, expert-facing tools, balancing flexibility with clarity and efficiency. Strong systems thinking skills, with the ability to structure multi-layered flows with roles, states, and dynamic logic. Experience collaborating with product managers and engineers to drive product outcomes and influence strategic priorities. Mastery of interaction and visual design, with a portfolio that demonstrates elegant handling of highly complex interfaces. A research-driven mindset, grounded in user research, usability testing, and data-informed decision making. Technical fluency, with the ability to collaborate confidently with engineers and product managers. Strong communication and storytelling skills, with the ability to align and inspire cross-functional teams and leadership. NICE TO HAVE: Demonstrated experience creating human-AI interaction models that balance usability, transparency, and trust. Demonstrated experience designing tools and platforms that enable others to configure or manage AI systems, for example, workflow builders, agent setup tools, or machine learning configuration interfaces. Background or interest in conversational interfaces, automation tooling, or multimodal interaction design. Familiarity with design systems in a scaling team. Knowledge of voice technologies or telephony ecosystems. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in 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 a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks. Your recruiting process at Parloa: Recruiter video call → Meet your manager → Portfolio Walkthrough →  Engineering Lead Interview → Design Case Study → Leadership Interview    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.

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.What we’re looking forYou’re a builder who thrives at the frontier of AI agents, customer experience, and e-commerce. We're looking for someone who can own critical domains in our AI agent ecosystem:. You’ll build new agent capabilities, deploy evals, build process, collaborate closely with other PMs and our CEO to create the infrastructure for the future of e-commerce and CX.You have3+a years of product management experience with technical B2B products, ideally CX, e-commerce or AI automationAI-native mindset—you live in Claude, Cursor, v0, and often max out your daily LLMs limitsTechnical fluency with APIs and integrations—you can scope webhook systems, OAuth flows, and complex third-party connectionsCuriosity and a builder mindset—you like to build things and continuously learn new thingsFull-cycle ownership mentality—you find opportunities, run projects, write docs, run demos, enable sales teams, and measure adoptionCustomer-facing confidence—you thrive talking with customers, running demos, and co-selling alongside the sales teamYou thrive whenBuilding complex AI systems Designing evaluation systems that automatically improve agent performanceShipping new capabilities that change how shopping happens onlineYou get energized by not just shipping new capabilities, but seeing customers adopt themWhat you’ll doYou’ll be the third PM on a elite team building the future of customer experience and e-commerce. Think full-cycle ownership—from discovery to shipping to enabling customers and internal teams.Build new agent capabilities and create agents that work seamlessly across platforms.Design and ship evaluation systems that make our agents continuously smarter. Build QA suites, automated testing, and performance monitoring that catches issues before customers do.Own platform automation and onboarding to help customers go live in days, not weeks. Create AI tools that reduce manual implementation work.Expand our integrations ecosystem by shipping new platforms and enterprise app requirements. Make it easy for customers to connect their entire tech stack.Run full launch cycles from internal testing to early access to GA, including customer enablement through webinars, documentation, and training sessions.Demo your own products to customers and co-sell alongside sales. You’ll be known by name in our customer Slack communities as the PM who ships what they need.How we hireFill in a short form then jump on an intro call where we’ll discuss your experience building products and managing technical launches.Build a hands-on case study—vibe code a small AI feature with a live link and Loom walkthrough covering your approach.Join us for a round of interviews to discuss your experience in more depth.Work with us for a trial week on a real project. Ship something meaningful while experiencing our culture firsthand. We'll see how you work, you'll meet the team, and we'll both figure out if Siena feels right for you.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe. Key Responsibilities Apply state-of-the-art ML and LLM techniques to solve problems spanning: Personalization (LLM memory, context summarization, retrieval and ranking); Query Understanding (intent modeling, rewriting, agentic decomposition); Content Discovery (feed ranking and surfacing) Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement. Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products. Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking. Strong software engineering skills (Python, production-quality codebases, collaborative development). In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement. Proven collaborator and communicator; excels in high-velocity, cross-functional teams. Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems. Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc). Open-source or published contributions in ML, NLP, IR, or relevant research fields.  

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Factory is on the hunt for Enterprise Account Executives with deep knowledge of developer tools and AI to drive adoption across sophisticated enterprise organizations.What you will do and achieve:Lead enterprise sales cycles end-to-end. Build pipeline, manage evaluations, negotiate commercial terms, and close multi-stakeholder deals at Fortune 1000 companies and high-growth enterprises.Serve as the expert in conversations with CIOs, CTOs, engineering leaders, and procurement teams, demonstrating deep understanding of Factory’s platform and its enterprise value proposition.Work directly with the CEO, VP of Sales, and closely with the product and engineering teams to customize solutions that meet the specific needs of each client, ensuring a seamless integration of Factory's Droids into their existing workflows.Educate and guide clients through the technical and practical aspects of implementing AI-driven development tools, addressing any concerns and showcasing the potential ROI.Collaborate with marketing to refine sales strategies and materials based on market feedback, contributing to the overall growth and success of Factory.Establish Factory as a trusted partner for enterprise customers, ensuring expansion and renewal opportunities by aligning to their long-term innovation roadmaps.Qualifications:7+ years of sales experience, including 4+ years selling into enterprise accounts with complex decision-making processes.Proven track record of achieving and exceeding sales targets in a technology-driven sales environment, with the ability to manage complex sales cycles from start to finish.Exceptional technical aptitude, capable of quickly learning new technologies and articulating complex solutions in a straightforward manner.Strong interpersonal and communication skills, with the ability to engage effectively with technical decision-makers and C-level executives.Self-motivated and able to thrive in a dynamic, fast-paced startup environment. A genuine enthusiasm for AI and software development is a plus.Prior experience as a sales engineer or in a role requiring deep product demonstrations and technical discussions is highly desirable.The team goes into the office 5 days a week in San Francisco or New York City.

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About the Role As a Lead Technical Program Manager at Thoughtful AI, you’ll play a key role in shaping the delivery of our most complex and high-value AI Agent deployments across the healthcare ecosystem. This is a hands-on leadership role where you’ll manage a team of 5–7 Technical Program Managers, guide their work, and ensure their outputs meet the highest standards of quality and impact. Reporting to the Director of Technical Program Management, you will balance three core responsibilities: People management – building and developing a high-performing team of TPMs. Project mentorship – reviewing TPM deliverables, providing feedback, and coaching team members before their work is implemented. Strategic initiatives – contributing to cross-functional efforts that improve how Thoughtful delivers at scale. On customer projects, you’ll partner closely with TPMs during the discovery phase—leading process overviews that set the stage for successful implementations. Your TPMs will then own the design, build, and deployment of AI Agents, with your ongoing guidance and mentorship ensuring excellence throughout. This is an ideal role for a proven program management leader who thrives on developing talent, improving delivery practices, and helping enterprise customers achieve transformative outcomes. Learn more about our Warrior culture. Your Mission Manage and mentor a team of 5–7 Technical Program Managers, fostering growth, accountability, and delivery excellence. Own customer-facing deliveries directly, serving as the assigned TPM on select accounts while modeling delivery best practices. Review TPM deliverables (product requirements documents, delivery roadmaps, etc.) and provide actionable feedback to raise quality before customer-facing execution. Partner with TPMs during discovery phases to lead process overviews and ensure accurate foundations for solution design. Contribute to strategic initiatives that improve delivery frameworks, governance, and cross-functional collaboration. Act as a trusted partner to Sales, Customer Success, Product, and Engineering to ensure delivery capabilities align with customer expectations. Champion best practices, risk management approaches, and scalable frameworks that enable consistent, enterprise-grade deployments. Represent program delivery in leadership conversations and customer forums, bringing forward insights and solutions. What Success Looks Like A cohesive TPM team with strong ownership, confidence, and consistent delivery quality. Scalable, repeatable practices adopted across projects, driving enterprise-grade deployments. TPMs consistently producing high-quality outputs that accelerate delivery and reduce risk. Cross-functional leaders relying on TPMs (and you as their lead) as trusted partners in execution. Enterprise customers achieving transformative outcomes with confidence in Thoughtful’s delivery approach. What You Bring 8-12+ years of experience in program or technical project management, including leadership responsibility for developing and managing teams. Proven success in enterprise technology implementations, ideally within SaaS, consulting, automation, or healthcare technology. Strong background in healthcare delivery; experience in Revenue Cycle Management is a plus Experience mentoring or reviewing project/program management outputs to ensure quality before execution. Strategic perspective combined with executional discipline - you can coach the details while influencing the bigger picture. Ability to influence senior stakeholders and customers through clear, data-driven communication. Comfort navigating fast-paced, ambiguous environments and building structure where it doesn’t yet exist. Bachelor’s degree in a technical, operational, or business discipline (MBA or equivalent experience a plus).   Thoughtful AI Benefits Market-leading base salary and bonus Employee stock Medical, dental, and vision insurance for you and your dependents We expect you to unwind and disconnect for three weeks per year while still getting paid California Salary Range $200,000—$250,000 USD

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:The Engineering Manager, State Estimation will lead a high-performing team focused on developing advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. You will oversee the research, development, and deployment of large-scale mapping and localization solutions, while shaping the technical roadmap and ensuring successful collaboration across device, cloud, and applied AI teams.Responsibilities: Build, mentor, and manage a team of engineers developing state-of-the-art mapping, localization, and SLAM algorithms.Set technical direction and project priorities, aligning them with broader organizational goals.Drive high-impact, cross-functional projects from conception through deployment, coordinating with research, hardware, and product teams.Provide technical guidance on algorithm design, system architecture, and implementation, while ensuring best practices in software development and performance optimization.Foster a culture of innovation, technical rigor, and collaboration across the team.Develop and maintain project roadmaps, milestones, and technical documentation.Partner with senior leadership to define long-term strategies for localization, state estimation, and multi-sensor calibration.Review and approve designs, architectures, and implementations, ensuring technical excellence and scalability.Lead recruitment, hiring, and performance management to grow a world-class engineering team.Required Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, or a related field.10+ years of industry experience (8+ years with an M.S., 6+ years with a Ph.D.), including significant leadership or management responsibilities.Proven experience leading engineering teams working on state estimation, localization, or SLAM technologies.Strong foundation in C++ development, geometric computer vision, stochastic processes, and nonlinear/convex optimization.Deep understanding of filtering algorithms (e.g., Kalman, particle filters) and optimization-based methods (e.g., nonlinear least squares).Familiarity with camera geometry, structure from motion, multi-sensor fusion, factor graphs, and related state estimation concepts.Strong track record of technical execution combined with leadership and team-building skills.Exceptional communication skills, with the ability to collaborate effectively across engineering, research, and product functions.Experience in technology transfer and delivering research innovations into production systems.Preferred Qualifications:Demonstrated success deploying SLAM/VIO estimators in real-world applications.Experience with multi-sensor systems, including GPS, IMU, camera, and wheel odometry.Exposure to integrating deep learning with classical state estimation approaches.Strong record of published research or contributions to the robotics and computer vision community.Experience scaling and leading multi-disciplinary engineering teams

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? This AI Business Consultant position within the NICE – AI Center of Excellence Organization offers an exciting opportunity to focus on delivery excellence and drive accelerated ROI from our portfolio of AI solutions. The ideal candidate will bring a strong mix of solution consulting and operations experience, positioning them to lead customers through digital transformations. As a seasoned consultant in a technology company like NICE, you must possess a unique blend of business acumen, subject matter expertise, and technical savvy to deliver significant business impact via our software solutions. In other words, someone who can gain credibility via both their words and hands-on-keys actions. This role involves working with multiple broad groups within NICE and requires proven ability to influence cross-functional teams, both with and without formal authority, within a matrixed organization. How will you make an impact?    Lead consulting projects to drive process improvement and ensure business readiness for optimal adoption and utilization of NICE self-service and AI solutions. Consult with clients to understand their current business and technical processes, self-service needs, and AI implementation requirements. Provide best practice recommendations to design and implement self-service and AI software solutions, ensuring customers fully optimize their business processes and maximize potential. Collaborate with product development teams to provide feedback and suggest improvements based on client experience. Own and manage senior stakeholder relationships, ensuring active participation and sponsorship throughout the engagement. Build long-term relationships with customers, becoming a trusted advisor, driving adoption and consumption growth. Organize and guide application and data consultants through program leadership, acting as the adoption and consulting engagement quarterback. Manage consulting and adoption programs with continuous alignment with the entire product implementation program. Establish and monitor progress toward business success criteria for the overall delivery program and in turn, each product/business unit. Map business cases into action items and solution designs. Align launch strategies with use cases and value priorities. Secure buy-in from different stakeholders (internal and external). Provide input into technical project plans, ensuring business requirements and best practices are fully captured. Develop and deliver presentations to demonstrate the value and capabilities of our software solutions. Analyze client data to identify opportunities for process improvement, increased software adoption, and AI-driven insights. Have you got what it takes? Minimum of 5 years of consulting or customer successes experience in self-service or AI software domains. Degree in Business, Information Technology, or a related field preferred. Experience with contact center enterprise software, with deep domain experience in digital/unassisted self-service channels (e.g., Google Dialog Flow). Knowledge management expertise. Experience with generative AI in the customer service domain is a plus. IVR/Routing/ACD experience preferred. You will have an advantage if you also have: Experience in business process improvement and customer success. Proven ability to independently handle senior executive audiences and stakeholders, provide thought leadership, and gain strategic partnerships. Led project teams and demonstrated operational performance improvements with significant benefits. Multi-industry experience preferred. Excellent verbal, written communication, and presentation skills are a must. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About the role Descript’s vision is to put video in every communicator’s toolkit. Back in the day you needed like six monitors and a bachelor’s degree to edit video. Descript lets you do it by editing docs & slides, and increasingly by just asking AI. In the future, maybe you won’t even need to ask! But building a new way to record and edit videos that look & sound good comes with a series of unique design, technology, and business challenges. In other words, we need really good product managers. As a Product Manager on the Editor team, you’ll be shaping the future of what creative collaboration looks like with AI, from recording to final polish. You’ll work alongside a small, flat, highly collaborative team of experienced PMs, engineers, designers, AI researchers, and marketers. This is an opportunity to get hands-on experience with cutting-edge AI technology in a product users love and grow fast in your PM craft. What you’ll do Develop a deep understanding of our customers, their creative goals, and the evolving video/AI landscape — and use those insights to guide the roadmap. Own and shape the recording experience so that anyone can look and sound great without special gear or expertise. Bring Descript’s taste for great video into the recording and editing experience, shaping interactions and defaults so creators naturally produce work that feels polished and professional. Partner with AI research, engineering, design, and other teams to translate cutting-edge technology into reliable, delightful experiences. Own and drive the feature roadmap for your team from idea generation through to execution and analysis. You’ll bring clarity and focus to your team, and help them deliver value to users reliably and effectively. Who you are You have seen (and shipped) some things: You have 3 or more years of product management experience, ideally with a product of technical complexity that incorporates generative AI models. You start with the customer: Plenty of “AI products” start with the technology and they all suck. You care deeply about understanding customers, and have experience in doing customer discovery and defining features that solve real problems. You are a fog sculptor: There are aspects to our product and its design that do not have real competitors yet. The product intuition and design conventions have not been decided. We need product managers who are attracted to ambiguous problems, know how to ask smart questions, and translate ideas into action. You care about craft: Our product is not a hype machine that runs on empty promises and vaporware. We think our product will be successful because people love to use it. That means sweating the details. But without the sweat, because you aren’t stressed out. You are funny, creative, maybe kind of weird: Ok, this isn’t a hard requirement but Descript is kind of a quirky place and the people who love it tend to like that about working here. So, just want to drop a hint early on. Also, the sense of humor is important because even though we take our work seriously it’s still just, like, video creation and editing. We aren’t flying rockets into space so let’s all have a good time. The base salary range for this role is $175,000 - $265,000/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 — with a proven CEO 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, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're looking to hire people who are local and able to join us at the office when needed. We're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. But 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. 

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About Us: Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that.At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration.Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy.Key Responsibilities:Collaborate across various departments to enhance our AI-driven design and manufacturing processes.Contribute to different stages of production, from software development to operational management and factory floor operations.Engage in business development activities, including strategy formulation and relationship management.Innovate in areas of robotics and manufacturing technology to improve efficiency and quality.Qualifications:Relevant experience or a strong interest in fields such as engineering, manufacturing, business development, or robotics.Excellent problem-solving skills and a willingness to engage in a variety of challenges.Strong communication and teamwork abilities, capable of working in an interdisciplinary environment.Eagerness to learn and adapt in a rapidly evolving startup landscape.What We Offer:The opportunity to be part of an exciting journey in transforming the manufacturing industry.A collaborative and challenging work environment where innovation is at the forefront.Opportunities for personal and professional development.Competitive compensation and benefits, commensurate with experience and role.Apply Now: Join us in our mission to redefine manufacturing through AI. We are excited to welcome individuals who share our passion for innovation and excellence. Submit your application today and be a part of our transformative journey.

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers.  If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI. You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy.  Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand. We value curiosity, collaboration, and the courage to push boundaries. What you’ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you’ll bring to the role Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist.  3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications. Good understanding of recent advances in building LLM-powered applications,  and multi-agent systems at scale.  Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP/ NLU conferences or workshops are a plus Relevant open-source contributions are a plus. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role The Cybersecurity / SRE team is focused on ensuring the security and reliability of X Money. This role will primarily focus on the X Money platform but will also cross over with the X Social platform. The ideal candidate will have experience in the banking, money transmission, and P2P payments industry. We emphasize working with large distributed systems and security platforms at scale, with an automation-first mindset. You’ll be responsible for securing and maintaining the reliability of X Money’s infrastructure. You’ll work closely with cross-functional teams to enhance security measures, improve system resilience, and implement best practices. Your role will include: Responsibilities Building and securing mission-critical applications within AWS. Ensuring proper identity and role management within AWS. Implementing and maintaining KMS for data management in RDS and DynamoDB. Strengthening Kubernetes and container security. Writing and maintaining infrastructure code using Python and Terraform. Integrating and maintaining code scanning platforms. Taking ownership of cybersecurity projects, identifying problems, and implementing solutions. Conducting critical analysis and applying strong problem-solving skills. Minimum qualifications: Proficiency in Python and Terraform. Hands-on experience with code scanning platforms. A proactive, problem-solving mindset with a strong sense of ownership. Excellent critical thinking and analytical skills. AWS experience, particularly with identity management and security. Expertise in Kubernetes and container security & experience with self-managed Kubernetes or EKS on AWS. Be based in the SF Bay Area, or willing to relocate here. Annual Salary Range $180,000 - $360,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Req ID CSQ426R267 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: Main use cases moving from ‘win’ to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers 1+ years of experience with Databricks  Programming experience in Python, SQL, or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management, including account, stakeholder, and resource management accountability Experience resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.  Zone 1 Pay Range$161,300—$225,800 USDZone 2 Pay Range$129,100—$180,700 USDZone 3 Pay Range$161,300—$225,800 USDZone 4 Pay Range$161,300—$225,800 USDAbout Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About Us: Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us  At Observe.AI, DevOps isn’t just about maintaining infrastructure—it’s about building scalable, reliable, and secure systems that empower innovation across the organization. As a DevOps Engineer, you’ll help design and automate the foundation that powers our AI/ML platforms, ensuring seamless operations across AWS accounts, Kubernetes clusters, and diverse environments while driving efficiency and cost optimization. You’ll work on automation that goes beyond CI/CD, tackling challenges in scalability, reliability, and security, while collaborating closely with engineering, data, and product teams to create resilient systems. If you’re looking for an opportunity where your expertise shapes the future of our infrastructure, your work enables faster innovation, and your growth is fueled by solving meaningful challenges alongside a talented team, this is the place for you. What you’ll be doing  Help in the definition of best practices in production monitoring and alerting and able to own application of the same Assist and troubleshoot  in the setup and maintenance of various environments (Production, testing, etc) Automate, optimize and drive efficiency of effort, code, and process Be able to assist with product stability and closely collaborate with other tech teams to suggest improvements for the same Assist in the implementation of security best practices, especially in public cloud infrastructure and in audit/compliance requirements. Own integration of existing systems using appropriate Kubernetes/ docker / Terraform scripts to automate and improve the efficiency of the deployment  Develop CI/CD pipelines for various services Coordinate and monitor releases of the same What you’ll bring to the role Expertise in scripting and programming skills (e.g., Python, Shell, Go). Good problem-solving and hands-on with the programming language or scripting for infra-automation CI/CD experience with Jenkins and cloud deployment technologies like Code Deploy (AWS), and/or GitLab. Understanding of enterprise software development and infrastructure processes and lifecycle; ability to adjust and apply this knowledge in a dynamic environment using Agile or similar methodologies. Hands-on experience with Infrastructure as Code, using Terraform, CloudFormation, or other tools. Hands-on experience with microservices and distributed applications, such as orchestration and containers, Kubernetes, and/or serverless technology. Understanding of different kinds of infra components such as DB/pub-sub services/cache etc. Bachelors or Masters Degree in Engineering Perks & Benefits  Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.