Find AI Work That Works for You

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re looking for an AI Researcher to join our core AI team and help push the frontier of multimodal conversational intelligence. If you thrive in fast-paced environments, love turning abstract ideas into running code, and get energy from exploring the edge of what’s possible then this is the perfect role for you.Your Mission 🚀Conduct research on Foundational Multimodal Models in the context of Conversational Avatars (e.g., Neural Avatars, Talking-Heads).Model video, audio, and language sequences using Autoregressive, Predictive Architectures (e.g., V-JEPA), and/or Diffusion paradigms with an emphasis on temporal and sequential data rather than static images.Collaborate with the Applied ML team to bring your work to life in production systems.Stay at the cutting edge of multimodal learning and help us define what “cutting edge” means next.You’ll Be Great At This If You Have:A PhD (or near completion) in a relevant field, or equivalent hands-on research experience.Experience modeling human behavior and generation (facial expressions, affect, or speech). Ideally in conversational or interactive settings.Deep understanding of sequence modeling in video/audio/language domains.Familiarity with large model training, especially LLMs or VLMs.Strong background in Deep Learning (from Transformers to Diffusion Models) and how to make them work in practice.Excellent programming skills, especially in PyTorch.Nice-to-HavesPublications in top-tier conferences like CVPR, ICCV, NeurIPS, ECCV, or ACMMM.Broader understanding of generative AI and multimodal architectures.Familiarity with software engineering best practices.Curiosity and a flexible mindset — you like building and experimenting.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe available for exceptional candidates.Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.To learn more about our team culture and benefits, check out our hiring page.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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About SolaSola is building the agentic automation platform powering the enterprises of tomorrow. Founded in 2023 by Jessica Wu and Neil Deshmukh (MIT alums, ex-IBM Watson, Citadel Securities, MGH/BWH), we’ve raised $21M in total funding from a16z and Conviction, with additional backing from Y Combinator (S23) and the founders of Dropbox, Zoom, Zapier, Scale, and more.In just one year, Sola has been adopted by Fortune 500s, top U.S. law firms, and leading private enterprises across finance, healthcare, legal, and supply chain.Our team in NYC includes industry leaders who have built and scaled world-class businesses, contributed to top quant funds, crypto projects, and research labs—and been founders themselves.What We’re BuildingWe’ve reimagined enterprise process automation to safely and effortlessly apply foundation AI models across web and desktop interfaces at scale. Our work spans:AI-enabled error correction algorithmsAgentic workflow orchestrationMarkov decision models with AI inputsAI desktop infrastructureOur workflow automation product is just the beginning—the hardest challenges are still ahead.If you’re excited to bring Figma-level UI/UX excellence to automation and build trusted tools for mission-critical processes, we’d love to meet you.As a Senior Backend Engineer, you will:Own systems that automate repetitive work across hundreds of browser and desktop platforms, handling concurrency, reliability, and observability at scaleCollaborate with our CTO and ML research partners to bring state-of-the-art agentic workflows into productionArchitect and scale backend infrastructure to power our visual workflow builder – a Figma-style interface used daily by non-technical ops teamsDesign and implement services that integrate with cutting-edge AI models to generate workflows, parse documents, and drive adaptive execution logicDeploy and manage services in Kubernetes, ensuring scalability, resilience, and performance in production environmentsWhat We’re Looking ForFluency in Typescript and Python (both required)Hands-on experience with Kubernetes (designing, deploying, and scaling production services)4+ years of experience building scalable distributed systems at enterprise scale (the more battle scars, the better)Prior experience at an early-stage startupProven ability to collaborate with engineers and PMs to break down high-level goals into shippable milestonesMust be available in NYC (we’ll cover relocation)Nice to have: prior experience with distributed workflow orchestration such as Cadence or Temporal.ioBenefits🌇 Where: In-person in NYC (we believe the best work happens together) 💸 Compensation: Competitive salary + meaningful equity 🩺 Healthcare: Comprehensive medical, dental, and vision (Big Tech level) 📈 401k: Easy enrollment with smart savings options 🍽️ Meals: Daily lunches, dinners, and snacks 🏝️ Time Off: Up to 4 weeks flexible PTO👉 Join us if you want to shape the future of automation, push the boundaries of AI-driven systems, and work shoulder-to-shoulder with a world-class NYC team.

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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.Job Description: 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 real-time, 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 seeking a skilled Navigation Engineer with experience applying navigation and estimation techniques to autonomous vehicles. Expertise in low-cost sensor considerations and robotics-focused pose localization techniques is a significant advantage. This role emphasizes the implementation of Inertial Navigation Systems (INS) while leveraging sensor fusion algorithms and pose estimation methods for precise navigation of aerospace vehicles. WHAT YOU’LL DO Analyze and help develop mission requirements and constraints across the Anduril product portfolio to determine optimal navigation system architecture Support and drive the evaluation and integration of advanced alternative navigation aiding sources (prepare, support, and conduct lab, motion, and flight tests) Support flight testing to measure & validate navigation performance relative to mission requirements and troubleshoot testing and operational anomalies Perform trade studies, modeling, simulation and other forms of analysis to validate algorithm accuracy, robustness, and performance Conduct simulation and testing for validation of navigation algorithms and system performance. Collect and analyze platform telemetry data to validate platform operation and performance Support the design, development, integration and testing of an inertial navigation systems (INS) for aerospace vehicles (UAS, spacecraft, missiles, etc.) Use and update Anduril's existing navigation models and simulations to predict navigation performance Support and drive the development of algorithms for navigation, guidance, and control systems, including extended Kalman filters and other estimation methods using various programming languages Support and drive the development of advanced sensor fusion algorithms leveraging INS, GNSS, cameras, LiDAR, and other sensors for highly precise navigation in complex aerospace environments. Apply covariance analysis techniques for early requirements derivation, as well as to optimize navigation system performance, error modeling, and system uncertainty assessments. Improve calibration procedures for sensor suites used in aerospace navigation systems. Collaborate with multidisciplinary teams to integrate navigation solutions into overall flight systems.   REQUIRED QUALIFICATIONS: Bachelor's or Master's degree in Aerospace Engineering, Electrical Engineering, or a related field 2 or more years of experience in Guidance, Navigation & Control engineering or related technical experience Proficiency in MATLAB & Simulink, C/C++ Strong knowledge of navigation principles, including inertial navigation, GPS Experience with technologies such as vision-based solutions and star trackers are a plus Experience with navigation system design, development and testing on aerospace systems Expertise in Kalman filtering, Extended Kalman filtering, and other estimation techniques. Experience with Factor Graphs is a plus Experience with real-time systems and embedded software development is a plus. Knowledge of sensor fusion and data integration techniques Demonstrated expertise in covariance analysis methodologies and transfer alignment techniques. Strong problem-solving and analytical skills General knowledge of guidance and flight control systems is a plus Experience applying covariance analysis techniques to optimize navigation system performance, error modeling, and system uncertainty assessments, and requirements methods Must be able to obtain and maintain eligibility for access to a U.S. Top Secret material.   PREFERRED QUALIFICATIONS: Autonomous air, ground or undersea vehicle navigation experience, focusing on low-cost sensors Adapt and apply real-time pose localization algorithms from robotics to enhance the accuracy and robustness of vehicle navigation where applicable. Current eligibility at the Top Secret level preferred US Salary Range$138,000—$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. Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. 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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ABOUT POOLSIDEIn this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will determine who survives and wins. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research and engineering at scale. They will create powerful economic engines. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this.poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress.We believe that software development will be the first major capability in neural networks that reaches human-level intelligence because it's the domain where we can combine Search and Learning approaches the best.At poolside we believe our applied research needs to culminate in products that are put in the hands of people. Today we focus on building for a developer-led increasingly AI-assisted world. We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. We also believe that as we increase the capabilities of our models, we increasingly empower anyone in the world to be able to build software. We envision a future where not 100 million people can build software but 2 billion people can.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEEvaluation is one of the most important pillars of building a frontier model and product - it informs the direction of research and development, powers our experimentation and ensures quality and alignment with our users.To support this, we need a powerful pipeline and self-serve evaluation framework that helps poolsiders build, run and extract insight from evals easily.In this role, you will design and implement this platform to build and run evaluations at scale.YOUR MISSIONBuild a scalable self-serve evaluation platform to power our research and developmentRESPONSIBILITIESDesign a Python framework that makes it easy for poolsiders to implement both internal and public benchmarks in a centralized wayBuild and maintain the pipeline that runs distributed evaluations at scaleCollaborate with modeling and product teams to identify opportunities to improve our experimentation and evaluation toolingSKILLS & EXPERIENCEStrong engineering backgroundExperience leading software projects cross functionallyExperience building highly reliable and well tested servicesExperience with distributed systemsData pipelines, distributed processingMessage queues, event-driven architectures, e.g. Kafka, Google pub/sub.Clouds: managed services, storage. GCP, AWS, Azure.Monitoring and alerting: Grafana, Prometheus, DatadogPlus: Experience designing frameworks or tooling for developersA product mindset towards building developer facing softwareA knack for collaborating with researchers and ML engineers to identify opportunitiesPlus: Experience with ML ops and data visualization platformsPROCESSIntro call with one of our Founding EngineersTechnical Interview(s) with one of our Founding EngineersTeam fit call with the People teamFinal interview with Eiso, our CTO & Co-FounderBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

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About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.About the Role We are seeking a Senior or Principal Scientist to join our team and lead from the bench. The ideal candidate will have a strong foundation in protein expression in both eukaryotic, prokaryotic and cell free systems, with demonstrated expertise in cloning techniques essential for therapeutic protein development.  Candidates with pharmaceutical or industrial experience in protein production at scales ranging from microgram to gram scales are strongly preferred. About You The successful candidate will have a strong understanding of the biophysics of protein-protein interactions, protein chemistry and extensive experience in the molecular biology and biophysical techniques essential for protein engineering. You will be expected to work independently, drive scientific execution in the lab, and provide technical leadership on complex projects.  Supervisory or mentorship experience is desirable, as is the ability to collaborate effectively within cross-functional teams spanning discovery, process development, and analytical functions. Strong communication skills and the ability to present scientific data to diverse audiences are essential.  We are looking for a highly adaptable individual who can excel in a fast-paced, matrixed environment with shifting priorities and multiple responsibilities. This is a hands-on role suited for a scientist who is passionate about advancing drug discovery and development through innovation and scientific rigor.   Key Responsibilities Protein expression in multiple systems including mammalian, prokaryotic, insect and cell free systems is the primary responsibility. Downstream processing of samples including harvesting cells in small scale and up to 20 L using depth filters, affinity chromatography, ion exchange chromatography, and sizing. Use of various analytical techniques to evaluate process efficiency and quality. It is anticipated that this will require creative and unique approaches, including construct design and screening to increase yields, the development of novel strategies and methods for difficult to express proteins and to increase stability of problematic proteins.  The target proteins will be therapeutic proteins, antigens for the generation of therapeutics, assay reagents for screens, and proteins for structural studies. Experience in high throughput expression and purification is expected. The experience and flexibility to work on downstream purification is required. Leadership and mentoring of team members is expected. Excellent record keeping and organization is a must. Qualifications PhD with 8+ years of industry experience is required. Strong technical background in protein expression, tissue culture, aseptic techniques, and the operation and maintenance of bioreactors in an industry setting a must. Experienced molecular biologist with the ability to design and make expression constructs is required. Mammalian transient protein expression and cell line generation is required. Experience with insect cell expression using baculovirus and S2 cell line generation is strongly preferred. Experience with prokaryotic and cell free expression is a plus. Hands-on experience in generating and managing research cell banks is essential. Experience in protein purification and protein characterization is required. Experience with HPLC and FPLC techniques is desirable, specifically, knowledge of Agilent HPLC and Cytiva AKTA systems.  Downstream medium scale (10 - 20 L) sample preparation for purification. Protein analysis for expression including SDS-PAGE, CE-SDS, glycosylation analysis, cIEF and BLI/SPR. Demonstrated expertise in protein expression processes, ranging from 96-well plate formats to scales of up to 10-liter bioreactors, is required. Proven expertise in biological research, demonstrated by publications in peer-reviewed journals, issued patents, and successful IND filings. Track record of independently leading complex research projects while working collaboratively within cross-functional teams. Committed to fostering an inclusive, respectful environment that embraces diverse perspectives. Demonstrated inclusive leadership through active listening and thoughtful engagement with all viewpoints.   Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $140,000 - $205,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. Xaira Therapeutics is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform critical job functions, and to receive other benefits and privileges of employment. Please contact Human Resources to request accommodation. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.  

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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.ABOUT THE TEAM Anduril’s Research Scientists excel at developing state-of-the-art algorithms and software that solve scientific problems with real-world applications. Working in small, innovative teams, our research scientists create impactful solutions that make a difference. Our research endeavors don’t end once we’ve published papers; our work is complete when our technology is deployed in mission-critical systems, ensuring success for our customers in government and industry.  Join us in our mission to expand the boundaries of what’s possible! WHAT YOU WILL DO Drive rapid prototyping initiatives for advanced R&D projects, focusing on specialized algorithm development in the context of radar systems, video sensors, space-based sensing, and Command and Control (C2) systems. Utilize high-fidelity modeling and simulation tools to assess and quantify the impact of innovative technologies on system performance. Collaborate with cross-disciplinary teams to ensure seamless integration of software and hardware, optimizing system functionalities for radar systems. Implement rigorous software quality assurance processes, using various testing methodologies to ensure reliability and efficiency of developed solutions. Engage with stakeholders to align R&D outcomes with mission-critical objectives, ensuring optimal performance and operational success. Mentor junior team members, fostering a culture of innovation and continuous improvement within the team. REQUIRED QUALIFICATIONS An M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Physics, Statistics and Probability, or a related field. 2+ years of professional experience in embedded software/firmware engineering. Strong foundation in applied mathematics, including probability theory, optimization theory, linear algebra, and numerical analysis. Familiarity with functional programming languages (e.g., C/C++, Julia, Rust, Python, CUDA). Demonstrated experience in scientific computing, including algorithm implementation, optimization methods/theory, probabilistic/stochastic models, graphical models. Knowledge of digital signal processing (DSP) and image processing, as well as controls and estimation theory. Excellent written and verbal communication skills to convey complex technical concepts to diverse audiences. Adept at problem identification and principled approaches to problem formulation and solution. Effective data analysis, deep-diving, trouble-shooting. Open-minded, creative, imaginative. Agile learner. Enthusiastic collaboration, energized by driving team success. Ability to obtain and maintain a U.S. TS/SCI security clearance. PREFERRED QUALIFICATIONS Experience with either radar signal processing or image processing. Experience in GPU programming (CUDA programming) and rapid prototyping.     We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.US Salary Range$117,300—$175,950 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. Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. 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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About Us Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We’re a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought, not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. We’re reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we’ve raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity’s most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality.About the role We’re looking for a Python Software Engineer to take full ownership of building and shipping the core systems that power Symbolica’s applied AI products. This is a true generalist role: you’ll work across our SDK, developer libraries, server-side platform, integrations with inference providers, and applied AI features such as agent engineering, per-model optimizations, and context tuning.   Your work will directly shape the developer and user experience — from designing clean APIs and libraries that customers use every day, to building the backend systems and integrations that make it all reliable at scale. You’ll be the bridge between research prototypes and production-quality systems, helping turn cutting-edge ideas into tools that developers love.   📍 This is an onsite role based in our London office (66 City Rd).   Your focus Build, maintain, and improve Python-based systems across the stack: SDK, libraries, APIs, server-side platform, and integration layers. Work on applied AI engineering, including per-model optimisations, context tuning, and agent-related features. Design developer-facing tools and libraries that customers can use directly. Integrate with external inference providers to ensure reliability and scalability. Own projects end-to-end: clarify requirements, design, implement, test, and ship production-ready code. Collaborate with ML researchers and engineers to turn prototypes into robust, usable systems. Contribute to architecture discussions, code reviews, and best practices for building maintainable software. Continuously improve developer experience and system performance. About you 4+ years of professional software engineering experience, with Python as your primary language. Strong track record of delivering production-quality systems end-to-end. Proven ability to work from incomplete specs and drive projects to completion. High standards for code quality, testing, maintainability, and performance. Experience with ML infrastructure, applied AI systems, or developer tooling is a big plus. Thrive in fast-moving, ambiguous environments where priorities shift quickly. Ownership mindset: you see what needs doing and take responsibility for delivery. What we offer Competitive salary and early-stage equity package A high-trust, execution-first culture with minimal bureaucracy Direct ownership of meaningful projects with real business impact A rare opportunity to sit at the interface between deep research and real-world productisation We are able to sponsor a Skilled Worker visa for qualified candidates applying to this position. This specific role exceeds the minimum salary threshold set by the UK government for Skilled Worker visa sponsorship. Please note that English language proficiency at B2 level or higher is required for this role.Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.

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ABOUT POOLSIDEIn this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will determine who survives and wins. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research and engineering at scale. They will create powerful economic engines. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this.poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress.We believe that software development will be the first major capability in neural networks that reaches human-level intelligence because it's the domain where we can combine Search and Learning approaches the best.At poolside we believe our applied research needs to culminate in products that are put in the hands of people. Today we focus on building for a developer-led increasingly AI-assisted world. We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. We also believe that as we increase the capabilities of our models, we increasingly empower anyone in the world to be able to build software. We envision a future where not 100 million people can build software but 2 billion people can.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEYou would be working in our pre-training team focused on building out our distributed training and inference of Large Language Models (LLMs). This is a hands-on role that focuses on software development best practices, maintenance, and code architecture. You will have access to thousands of GPUs to verify changes.Strong engineering skills are a prerequisite. We assume perfect knowledge of CI/CD, reliability concepts, software architecture, and code quality properties. A basic understanding of LLM training and inference principles is required. We look for fast learners who are prepared for a steep learning curve and are not afraid to step out of their comfort zone.YOUR MISSIONTo help train the best foundational models for source code generation in the worldRESPONSIBILITIESPropose and evaluate innovations in the training development experience and reliabilityEnhance and maintain our training and inference codebasesWrite high-quality Python (PyTorch), Cython, C/C++ code. Perform refactoringsImprove CI/CDSKILLS & EXPERIENCEUnderstanding of Large Language Models (LLM)Basic knowledge of TransformersKnowledge of deep learning fundamentalsStrong engineering backgroundProgramming experienceLinuxStrong algorithmic skillsPython with numpy, PyTorch, or JaxC/C++CI/CD, project maintenanceUse modern tools and are always looking to improveStrong critical thinking and ability to question code quality policies when applicablePROCESSIntro call with one of our Founding EngineersTechnical Interview(s) with one of our Founding EngineersTeam fit call with the People teamFinal interview with Eiso, our CTO & Co-FounderBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously. Responsibilities Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications. Design and conduct experiments to train RL models and conduct real-world tests. Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training. Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment. Analyze and interpret experimental results, iterating on model design to achieve desired performance. Stay up-to-date with the latest research and advancements in reinforcement learning. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). Strong background in algorithms, data structures, and software engineering principles. Experience with physics simulation engines and tools for training RL. Deep understanding of state-of-the-art machine learning techniques and models. Extensive industry experience with reinforcement learning and robotic systems.  Base Salary Range$100,000—$300,000 USD

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamAt Decagon, we’re building AI agents that power real customer interactions for some of the world’s most ambitious companies. Our customers aren’t just reading docs — they’re building mission-critical systems with us. That means every word, every guide, and every example directly impacts adoption and trust.You’ll be joining a small, high-ownership team that moves fast, ships often, and cares deeply about clarity and craft. We work mostly in person and we treat documentation as a core product surface — not an afterthought.About the RoleAs a Technical Program Manager, you will lead the coordination and support the delivery of multiple AI agent development projects simultaneously for our largest customers, breaking down ambiguous goals into phased roadmaps with clear milestones to ensure on-time, high-quality outcomes.In this role, you willCoordinate cross-functional teams: Work across technical and non-technical stakeholders – Agent Product Management, Go-to-market, and engineering product – through the full agent development lifecycle, aligning requirements and timelines and proactively managing dependencies and risks .Plan and track project delivery: Co-own project planning activities, including scoping requirements, prioritizing agent build roadmaps, aligning on milestones/outcomes, and identifying & clearing blockers to keep each implementation on track .Ensure transparency and alignment: Facilitate clear communication across all stakeholders, providing regular status updates and surfacing issues early so there are no surprises. You’ll also occasionally interface with customer teams to align on schedules or deliverables.Continually improve processes: Apply data-driven insights and lessons learned from each deployment to refine our playbooks and processes, ensuring we scale our customer implementations efficiently with high standards of quality.Your background looks something like this5+ years of experience as a program or project manager, ideally in the software-as-a-service (SaaS) industryStrong understanding of enterprise software delivery and experience driving successful customer implementations.Excellent project management skills — able to manage multiple complex builds simultaneously, prioritize effectively, and deliver on schedule.Exceptional communication and interpersonal skills, with the ability to build trust and coordinate across engineering, product, and customer teams.Analytical and structured thinker with the ability to identify and mitigate risks, resolve issues quickly, and make data-informed decisions.Technical acumen in the form of understanding technical concepts like APIs, integrations, or data flows, and can translate between technical and business audiences.Thrives in a fast-paced, dynamic environment, balancing multiple implementations while maintaining a high standard of quality and accountability.Even betterHands-on AI/LLM experience: Exposure to conversational AI or large language models – for example, you’ve built side projects or shipped features with LLMs.Customer-facing implementation expertise: Prior experience in a high-ownership, customer-facing role such as solutions architect or implementations lead, where you drove a project from pre-sales through post-launch.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$150K - $230K + Offers Equity

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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.ABOUT THE TEAM The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications. REQUIRED QUALIFICATIONS Currently possesses and is able to maintain an active U.S. Secret security clearance Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc. Experience building software solutions involving significant amounts of data processing and analysis Ability to quickly understand and navigate complex systems and established code bases A desire to work on critical software that has a real-world impact PREFERRED QUALIFICATIONS Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems Developing and testing multi-agent autonomous systems and deploying in real-world environments Feature and algorithm development with an understanding of behavior trees Developing software/hardware for flight systems and safety critical functionality Distributed communication networks and message standards Knowledge of military systems and operational tactics US Salary Range$138,000—$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. Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. 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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About the job Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video . Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 . In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: This role sits within our Video Platform team building out and maintaining critical infrastructure powering Synthesia's video generation capabilities. You will focus on improving the resilience and scalability of our video generation pipeline. You will build comprehensive monitoring and debugging tools for the video pipeline. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time. What we're looking for: At least seven (7) years of experience as a software engineer, at least 2 on the lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organisation recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. BE only experience is OK if you are happy to occasionally help out with FE. We used Python on our Backend and React on our Frontend Strong AWS experience. Platform engineering experience with a proven track record of building internal platforms used by multiple teams. Strong alignment with commercial success. Previous leadership experience of smaller teams. Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 . Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security . The hiring process: 30-40min call with our Technical Recruiter 45min call with an Engineering Manager about your past projects 90min Live Coding interview, a collaboration exercise with our Engineer (not Leetcode style) 60min System Design, technical discussion usually about a real problem we had in production 45min call with leadership, focus on examples of collaboration, growth and going through details of your future team You can find more details on what to expect and how to prepare HERE . The process does not need to take long - we can be done in seven working days. Other important info: This is a remote role from an EU country, UK or Switzerland. The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Who We're Looking For As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With 3-5 years of industry experience (post Masters of PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.   This Role In this senior role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architecting and developing innovative deep learning models in combination with state-of-the-art optimisation methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments. Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Driving internal R&D and product development, helping to refine models and identify new areas of application. Mentoring junior team members and providing technical guidance to help them grow. Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers. Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Please note, this role is based in London, UK, working 2-3 days per week in our office. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! What we offer  Equity options – share in our success and growth. 10% employer pension contribution – invest in your future. Free office lunches – great food to fuel your workdays. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.As a Lead Technical Program Manager at Cerebras, you will be managing the execution of several interdisciplinary teams of highly talented and motivated engineers in a fast-paced environment to solve some of the toughest problems in the rapidly evolving AI space. In this role, you will: Manage technical projects, working closely with key stakeholders in engineering and product management to develop and track release milestones, and builds & schedules, for the many moving parts that need to come together. Partner closely with System Engineering, Software Engineering, Manufacturing, Product management, and IT teams to define, prioritize, implement, and improve product features, datacenter infrastructure, and processes. Drive key aspects of the program through product launch, from planning, execution, and testing. Lead cross-functional projects, and drive and motivate the cross-functional teams to deliver the product(s) per requirements and schedule. Regularly present the project status, challenges, and program risks to the executive team. Develop tools and processes to increase engineering efficiency. Lead sprint planning meetings. Manage communication of status, risks, and blockers within the core team and with senior management. Skills & Qualifications Experience/expertise with design, manufacturing, and deployment of high-performance hardware infrastructure for data centers.  Experience with program managing NPI hardware programs for the full lifecycle. Experience in program management and reporting on government-funded programs. Ability to communicate effectively with technical and non-technical stakeholders at all levels. Ability to multitask and manage multiple projects efficiently. Ability to manage the ambiguity of the projects  Must be responsive, flexible, and able to excel within an open collaborative peer environment.  Good understanding of silicon, software development, system design, and manufacturing process. Good understanding of technical requirements for technology integration. Exposure to machine learning, deep learning, HPC, and associated technologies.   QUALIFICATIONS Bachelor's degree with a technical discipline or equivalent experience. 5+ years of relevant work experience in technical program/project management of cross-functional technical programs. Ability to exercise technical judgement when working with engineers. PREFERRED QUALIFICATIONS Master's degree or advanced technical degree. Experience working on server hardware or machine learning products and services. Experience driving technical program management in a fast-paced, startup environment. Creative leader with superior analytical abilities. Knowledge of the hardware development process and life cycle.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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About Cosmos We’re not your average MSP. We’re building an AI-first IT platform where humans and intelligent agents work together to keep companies running faster, smarter, and cheaper than anyone thought possible.Cosmos is a new Infinity Constellation venture — an AI-powered Managed Services company designed from the ground up for automation, observability, and Zero Trust. No legacy bloat. No ticket silos. Just clean architecture and code that matters.If you want to babysit servers, go somewhere else. If you want to build the backbone of how AI runs IT — keep reading.The Role We’re looking for a Cloud & Automation Engineer who lives at the intersection of systems, code, and chaos. You’ll be the one making sure everything just works — clouds stay up, agents stay smart, and users stay happy.You’ll: • Build, scale, and harden cloud environments (AWS + GCP). • Automate identity, provisioning, and access — because tickets are for amateurs. • Jump in on escalations that make other people sweat. • Write clean, reusable scripts to kill manual work forever. • Make the infrastructure invisible, reliable, and ridiculously fast.This is part ops, part dev, part automation wizard. You’ll be in the guts of the platform — the one who makes the lights never go out.What You’ll Do1. Cloud Infrastructure & Automation • Own AWS and GCP environments: compute, storage, networking, IAM, monitoring, and costs. • Automate provisioning and identity using APIs, SCIM, and whatever scripts get the job done. • Build integrations that let AI agents deploy, fix, and scale environments autonomously. • Write Python, Bash, or PowerShell scripts that make everyone’s life easier.2. Systems Reliability & Performance • Keep infrastructure stable, secure, and observable — CloudWatch, GCP Ops Suite, whatever works. • Run backups, test disaster recovery, and make sure you can sleep at night. • Patch, monitor, log, repeat — but smarter every time. • Troubleshoot the hard stuff: auth loops, permissions, weird edge cases no one’s seen before.3. Endpoint & Identity Management • Manage endpoints across macOS, Windows, and Linux using Zero Trust principles. • Build secure baselines that scale across hundreds of devices. • Work closely with our Security team to make “secure by default” more than a slogan.4. Collaboration & Mentorship • Act as L2/L3 escalation for Help Desk and onboarding. • Write documentation that people actually want to read. • Share what you learn — raise the team’s IQ every week.Who You Are • You’ve got 5+ years managing systems and cloud infrastructure — AWS, GCP, both, whatever. • You code or script your way out of every problem (Python, Bash, or PowerShell). • You think in automation, not checklists. • You know networking, IAM, and security inside out. • You’ve lived through a few “oh sh*t” incidents and learned how to prevent the next one. • You speak fluent troubleshooting — logs don’t scare you. • You want to be part of something early, messy, and meaningful.Location & Schedule This is a remote, global role, but you’ll work primarily on New York (EST) hours. We don’t care where you live — just that you can think fast, write clearly, and deliver results.Bonus Points • Terraform, Ansible, or configuration management experience. • Certs like AWS Solutions Architect or GCP Cloud Engineer. • Experience in MSP or multi-tenant environments. • Familiarity with SOC 2, ISO 27001, or GDPR compliance. • Obsessed with Zero Trust, automation, and clean architecture.Why You’ll Love It Here • You’ll work where AI and cloud collide — building systems that literally learn. • You’ll automate problems faster than they appear. • You’ll never get stuck waiting for permission to fix what’s broken. • You’ll be part of a team that values speed, reliability, and doing things right.This isn’t maintenance. It’s evolution. If uptime, automation, and adrenaline sound like your kind of stack — welcome to Cosmos.Salary and CompensationApproximate Annual Salary Range*Poland: EUR 35,000 – 65,000Romania: EUR 30,000 – 55,000Bulgaria: EUR 28,000 – 50,000Ukraine: EUR 25,000 – 45,000Ireland: EUR 55,000 – 85,000Other Eastern EU Markets: EUR 30,000 – 60,000*Ranges vary based on experience, certifications, and local cost of living and may also include an add’l bonus on top of base.What We OfferCompetitive compensation and performance-based incentives.Flexible remote or hybrid work options.Opportunities to work with AWS, GCP, JumpCloud, Halo ITSM, and Google Workspace.Professional development and support for certification.Collaborative team culture with a focus on reliability, security, and innovation.Exposure to complex multi-tenant and automation-driven environments.You’ll be part of a team building the next generation of AI-assisted cloud operations — combining automation, observability, and Zero Trust to reinvent how IT is delivered.

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Appierについて Appier（エイピア）は、人工知能（AI）を活用して企業の意思決定を支援するソフトウェア・アズ・ア・サービス（SaaS）企業です。2012年に「AIの民主化」というビジョンのもとに設立され、「AIをROIに変える（Turn AI into ROI）」をミッションとして掲げています。現在はアジア太平洋地域、ヨーロッパ、アメリカを含む17の拠点を展開し、東京証券取引所（証券コード：4180）に上場しています。詳しくは www.appier.com をご覧ください。 提供ソリューション AIQUA（アイコア） AIを活用したマルチチャネル・マーケティングオートメーションプラットフォーム。Web、アプリ、メール、プッシュ通知など複数チャネルで、顧客ごとに最適化されたジャーニーを自動的に実現します。 BotBonnie（ボットボニー） SNS公式アカウント（LINE、Instagram、Facebookなど）やWebチャットに対応した、AI会話型マルチチャネルマーケティングオートメーションソリューション。顧客エンゲージメントとコンバージョンを高めます。 AIRIS（アイリス） AIを搭載したカスタマーデータプラットフォーム（CDP）。顧客データを統合し、より精度の高いセグメンテーションや予測分析を可能にします。 AdCreative.ai（アドクリエイティブ・エーアイ） AIによるクリエイティブ生成プラットフォーム。オーディエンスやチャネルごとに最適化された高パフォーマンス広告クリエイティブを自動生成します。 ポジション概要 AppierのSenior Enterprise Solutions Salesとして、日本市場におけるエンタープライズ企業向けに、AIQUA、BotBonnie、AIRIS、AdCreative.aiといったAppierのSaaSソリューション全体の販売をリードし、売上拡大を推進していただきます。 経営層や意思決定者の信頼できるパートナーとして、AIを活用したマーケティング・データ・顧客体験の変革を支援していただきます。 主な業務内容 新規開拓から提案、交渉、契約締結まで、SaaSソリューション営業の全プロセスを担当 Cレベルを含む経営層への提案を通じ、AppierのAIソリューションが抱えるビジネス課題をどう解決できるかを訴求 大手企業の戦略的アカウントを拡大し、長期的な関係構築と導入拡大を推進 正確なパイプライン管理と売上目標の達成 Pre-Sales、CSM、マーケティング、プロダクトなどの社内チームと連携し、シームレスな導入・運用支援を実現 既存顧客のアップセル・クロスセル機会を発掘し、持続的なアカウント成長を促進 AI・データ戦略・デジタルトランスフォーメーションに関する知見を発信し、Appierのリーダーシップを確立 応募条件 ソフトウェアソリューション営業の経験10年以上、うち5年以上はエンタープライズ向けSaaSまたはAI／MarTech領域での営業経験 複数のステークホルダーを巻き込む大規模案件のクロージング実績 強いオーナーシップと自己駆動力を持つセルフスターター AI・データプラットフォーム・マーケティングオートメーションなどの新技術への高い関心と学習意欲 変化を楽しみ、挑戦を続けるグロースマインドセット（成長志向） チーム内外での円滑なコミュニケーション・協働スキル AIで市場を変革し、顧客に価値を届ける情熱をお持ちの方 日本語：ネイティブまたはビジネスレベル（必須） 英語：ビジネスレベル（尚可／必須ではない） Appierで働く魅力 マーケティング領域におけるAI・データ革新の最前線で活躍できる 学習と挑戦を後押しするフラットで協働的なカルチャー 日本企業のAIトランスフォーメーションをリードする実感を得られる 勤務地: 東京都 所属部署: Enterprise Solutions（AIQUA / AIRIS / AdCreative.ai / BotBonnie） About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Our Solutions AIQUA – An AI-driven multi-channel marketing automation platform that helps enterprises deliver personalized customer journeys across web, app, email, push channels and so on. BotBonnie – An AI conversational multi-channel marketing automation solution designed for SNS official accounts (LINE, Instagram, Facebook, etc..) and web chat to drive engagement and conversions. AIRIS – An AI-driven Customer Data Platform (CDP) that unifies customer data and enables advanced segmentation and predictive analytics for smarter decision-making. AdCreative.ai – An AI creative generation platform that automates the creation of high-performing ad creatives optimized for each audience and channel. Role Overview As an Senior Enterprise Solutions Sales at Appier, you will be responsible for driving revenue growth by leading the full sales cycle of Appier’s SaaS platforms—AIQUA, BotBonnie, AIRIS and AdCreative.ai across Japan’s enterprise market. You will act as a trusted advisor to senior executives, helping them leverage AI to transform their marketing, data, and customer experience strategies. Key Responsibilities Own the full sales cycle from prospecting, qualification, and needs discovery to proposal, negotiation, and contract closure. Advise and present to C-level executives, identifying and articulating how Appier’s AI-driven solutions address complex business and marketing challenges. Develop and expand strategic enterprise accounts, ensuring long-term success and maximizing product adoption across multiple business units. Maintain a robust and accurate pipeline, delivering consistent performance against revenue targets. Collaborate cross-functionally with Pre-Sales, CSM, Marketing, and Product teams to deliver seamless client experiences and ensure successful solution implementation. Identify upsell and cross-sell opportunities within existing clients to drive sustainable account growth. Represent Appier as a thought leader, contributing insights on AI, data strategy, and digital transformation to senior stakeholders. Requirements 10+ years of software solution sales experience, with at least 5 years in enterprise-level SaaS or AI/MarTech platforms. Proven track record of success in closing complex, multi-stakeholder enterprise deals. Self-starter mindset with strong ownership, accountability, and drive to achieve ambitious goals. Fast learner with deep curiosity and willingness to understand new technologies, especially AI, data platforms, and marketing automation. Growth mindset — eager to experiment, learn, and adapt in a fast-changing environment. Strong collaboration and communication skills, capable of aligning across teams and functions. Passionate about changing the market with AI and delivering measurable value to clients. Japanese: Native or Business level (Must to have.) English: Business proficiency (Good to have, not a must) Location: Tokyo, Japan Department: Enterprise Solutions (AIQUA / AIRIS / AdCreative.ai / BotBonnie)

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The Country Manager, Norway will be heading Shield AI´s operational execution and growth in Norway. This person will lead and manage an in-country team, with a demanding job, and a very high level of responsibility and accountability to perform and deliver results but will undoubtedly have the opportunity to make an outsized impact and become a major contributor to the company.    He/she will be responsible for building and strengthening Shield AI’s military and political influence including setting and execution of defined capture strategies.    Lead cross-functional integration, serving as the unifying figure across Shield AI´s Business Development, Government Relations, Program Management, Legal, Contracts, and Customer Operations—ensuring seamless coordination.  What You'll Do Build and strengthen Shield AI’s military and political influence in country through sustained engagement with key political and government stakeholders, and industry partners.  Ensure operational execution, offset obligations, oversee delivery of current contracts and accountability for key performance metrics, team outputs, and customer satisfaction.  Partner with legal for regulatory and export requirements. Embody and lead with Shield AI’s mission, values, and leadership principles.Set and execute the capture strategy for the country, ensuring long-term growth across sales, partnerships, and influence operations.  Lead cross-functional integration, serving as the unifying figure across Business Development, Government Relations, Program Management, Legal, Contracts, and Customer Operations—ensuring seamless coordination. Engage with customers regularly to present and discuss Shield AI product portfolio Attend trade shows, exhibitions, or other industry events to espouse Shield AI products Devise and coordinate marketing and government relations opportunities Build and devise the structure of industry partnerships Plan and execute product demonstrations Lead proposal response Develop offset strategies  Required Qualifications Proven leadership and/or operational experience within the defense segment Specific strategy or business development experience in Europe (focus BENELUX) Prior UAV or AI business development experience in a defense-related context Demonstrated understanding of specific Army/Navy/etc. operational scenarios and systems Strong research and analysis skills Relevant BENELUX Language Skills (e.g., Dutch, French languages) 

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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 seeking a highly skilled, experienced and hands-on Anti Fraud & Abuse Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. You will be responsible for designing, implementing, and operating cutting-edge monitoring and detection systems to identify and prevent fraudulent behaviors and abuse of our products and services. Responsibilities Design, build, and operate monitoring and detection systems to identify and prevent fraudulent behaviors and abuse Perform adversary hunting to detect abuse and misuse of our products and services Analyze how our products and services are being misused or abused Track and mitigate cost impacts of fraud and abuse across our technology stack Research and anticipate emerging abuse techniques to stay ahead of evolving threats Build and maintain relationships with external threat intelligence partners and industry communities Establish best practices, tools, and processes for our fraud and abuse detection program Qualifications Experience designing, implementing, and operating fraud detection, abuse prevention, or security monitoring systems Background in security, adversarial machine learning, threat intelligence, or fraud investigations Strong data analysis skills, able to identify patterns and anomalies within large datasets Understanding of both technical and behavioral signals to support effective fraud prevention strategies Excellent communication skills, able to present to both technical and non-technical audiences  

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Job Description:We’re looking for a Software Engineer to join our team developing next-generation Ground Control Station (GCS) applications for unmanned aerial systems (UAS). This role is ideal for engineers with a strong foundation in real-time, performance-sensitive software who also bring experience with modern web technologies.  You’ll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability.  What you'll do: Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms. Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control. Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state. Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions. Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance. Lead development efforts on key features or subsystems, from early design through deployment and iteration. Write high-quality, well-tested code and participate in peer design/code reviews.  Required qualifications:Bachelor’s degree with 4+ years of relevant experience, or Masters with 3+ years, or PhD with 1+ year. Demonstrated experience building real-time or performance-sensitive applications—preferably for UAVs, robotics, autonomous vehicles, or simulation environments. Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration. Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js. Strong software engineering fundamentals including version control, testing, debugging, and performance profiling. Proven ability to deliver high-quality software as part of a collaborative engineering team.  Preferred qualifications:Experience with GCS software, mission planning tools, or real-time visualization platforms. Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats. Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink. Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices. Exposure to distributed systems and cloud integration for telemetry data pipelines. Understanding of security best practices in control systems and networked applications. 

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CSQ426R259 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 maximize 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 the production/go-live status of agreed-upon use cases within an account, often serving 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 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 in resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysi,s and managing 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 LI#Remote  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 base 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 anticipated 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$161,300—$225,800 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.