AI Data Science & Analytics Jobs

true

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ127R84 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Munich (Germany), Paris (France), and Amsterdam (NL). The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French or German About 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.

false

Meet Eloquent AIAt Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments.We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services.As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows.This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions.You will:Design and build full-stack applications that power AI-driven workflows for enterprise users.Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation.Optimize AI-powered UIs to ensure seamless and intuitive user experiences.Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications.Ship robust, minimal-dependency code that performs efficiently in enterprise environments.Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility.Requirements2-5 years of hands-on experience building full-stack production applications.Proficiency in modern web technologies, including React, TypeScript, and Node.js.Experience with backend development using Python, Go, or similar languages.Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.Understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows.Ability to work in a fast-paced, high-autonomy environment, solving complex problems and delivering impact.Strong collaboration skills, with experience working in cross-functional teams with engineers, designers, and AI researchers.Bonus Points If…You have experience building AI-powered applications with LLM integrations.You’ve worked in high-performance startups or enterprise AI environments.You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces.You have experience with GraphQL, WebSockets, or real-time data streaming.You’ve contributed to open-source projects or have built developer tools for AI.

false

At Black Forest Labs, we’re on a mission to advance the state of the art in generative deep learning for media, building powerful, creative, and open models that push what’s possible. Born from foundational research, we continuously create advanced infrastructure to transform ideas into images and videos. Our team pioneered Latent Diffusion, Stable Diffusion, and FLUX.1 – milestones in the evolution of generative AI. Today, these foundations power millions of creations worldwide, from individual artists to enterprise applications. We are looking for an Applied Researcher to develop precise control mechanisms for our image and video generation models, enabling users to direct outputs through practical controls like color palettes, transparency channels, and other production-ready features Role and Responsibilities Training large-scale Diffusion (transformer) models with advanced control mechanisms (hex color control, transparency generation, custom aspect ratios, etc.) Developing conditioning mechanisms for practical production requirements in image and video generation Rigorously ablating design choices for applied controls and communicating results & decisions with the broader team Reasoning about the speed and quality trade-offs of control architectures for real-world applications What we look for: Experience training large scale Diffusion models for image and video data Finetuning Diffusion models for image and video applications, such as, image and video upscalers, in and out painting models, etc. Deep understanding of how to effectively evaluating image and video generative models Strong proficiency in PyTorch, transformer models and other NN architectures. Deep understanding of training techniques such as FSDP, low precision training, and model parallelism Nice to have: Experience with writing forward and backward Triton kernels and ensuring their correctness while considering floating point errors Profiling, debugging, and optimizing single and multi-GPU operations using tools such as Nsight or stack trace viewers

false

About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a Mobile Full Stack Engineer, you’ll design and develop our cross-platform command-and-control mobile app, the interface operators use to plan, monitor, and control autonomous missions in real timeResponsibilitiesBuild intuitive, real-time mobile operator dashboards for command & control.Develop cross-platform (Android/Embedded Linux) interfaces optimized for ruggedized Android hardware.Integrate mobile front-end with backend APIs for telemetry, mission planning, and AI systems.Collaborate with UX and backend teams to implement a unified design system.Ensure reliability, security, and offline performance under field conditionsCandidate RequirementsEducation: B.S./M.S. in Computer Science, Software Engineering, or related field.Experience: 5-8 years’ experience in mobile software engineering. Experience integrating mobile apps with backend APIs and real-time data.Technical Skills: Proficiency with Flutter or React Native and cross-platform UI design.Mindset: Strong understanding of performance optimization and secure code practices.Bonus: Background in gaming, defense, or aerospace; experience with real-time or simulation systemsCommitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.Location and CommitmentsContract Type: Full-time / PermanentWork Schedule: DMV area (D.C. / Maryland / Virginia) / On-siteCompensation: $155K-$185K + equity + benefitsStart Date: November 2025We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

false

About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

true

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.As a Senior/Staff Frontend, you will: Build and ship features for North, our AI workspace platformDevelop autonomous agents that talk to sensitive enterprise dataWrite and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanismsAs security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or toolingCollaborate with researchers to productionize state-of-the-art models and techniquesYou may be a good fit if:Have shipped (lots of) frontend code (React, Typescript) in productionYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetYou’ve worked in both large enterprises and startupsYou have strong coding abilities and are comfortable working across the stack.You’re able to read and understand, and even fix issues outside of the main code baseYou have built and deployed extremely performant client-side or server-side RAG/agentic applications to millions of users.Bonus: You love art and have an eye for design and a creative mindset - A plus, if you have a portfolio, GitHub or other showcases of your projectsIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

true

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.As a Senior Full Stack Senior Engineer, you will: Build and ship features for North, our AI workspace platformDevelop autonomous agents that talk to sensitive enterprise dataWrite and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanismsAs security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or toolingCollaborate with researchers to productionize state-of-the-art models and techniquesYou may be a good fit if:Have shipped (lots of) fullstack code (Python and React) in productionYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetYou’ve worked in both large enterprises and startupsYou have strong coding abilities and are comfortable working across the stack.You’re able to read and understand, and even fix issues outside of the main code baseYou have built and deployed extremely performant client-side or server-side RAG/agentic applications to millions of users.Bonus: You love art and have an eye for design and a creative mindset - A plus, if you have a portfolio, GitHub or other showcases of your projectsIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

false

About the TeamThe Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the RoleWe are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment.As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform.The nature of this role will be low volume, high difficulty.This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team.Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era.Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time.In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes.Design and refine incident response processes and documentation across strategic customers, engineering and support teams.Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows.Provide support coverage during holidays and weekends based on business needs.You might thrive in this role if you:Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success.Have 8+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level.Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation).Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and drive follow‑ups (post‑mortems, action items) to prevent recurrence. Knowledge of industry best practices for incident management and fault diagnosis.Have strong skills in scripting or software engineering (e.g., Python or similar) to automate repetitive tasks and integrate tools.Have solid understanding of cloud infrastructure and distributed systems fundamentals. Comfortable working with cloud services, load balancers, databases, and containerized applications.Are effective at working cross‑functionally in a high‑trust environment. Strong communication skills to explain technical issues and resolutions to both engineering and non‑technical stakeholders. You can coordinate efforts across teams and are comfortable providing updates in the midst of an ongoing incident.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

false

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 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 revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.   The individual in this role will manage teams in LON themselves while also facilitating.   Responsibilities: Site Leadership & Culture Establish and lead Perplexity's London office, setting the cultural foundation and operating principles Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions Partner with People/HR, Finance, and Operations to ensure seamless site operations Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community   Technical Leadership: Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals Drive architectural decisions and technical excellence across teams Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives   Team Building & Talent: Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring Develop and execute talent acquisition strategy for the London site in partnership with recruiting Create career development frameworks and growth opportunities for engineers Foster technical mentorship and knowledge sharing across teams and sites     Cross-functional Collaboration: Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration Contribute to company-wide infrastructure strategy and roadmap planning Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles 3+ years of people management experience, including building and scaling teams Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large-scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines Model serving and deployment at scale Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems Demonstrated ability to set technical vision and drive execution across multiple teams Excellent communication and stakeholder management skills Experience working in fast-paced, high-growth technology companies Passion for building inclusive, diverse, and high-performing teams Preferred Experience at companies focused on AI/ML, search, or large-scale consumer applications Previous experience as a site lead, office lead, or similar multi-team leadership role Background in building infrastructure for LLM training or inference Contributions to open-source infrastructure or AI infrastructure projects Experience scaling teams from 0 to 20+ engineers Active involvement in the London or European tech community MBA or advanced technical degree What Success Looks Like: 30 Days Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure Established relationships with key stakeholders across engineering, product, and leadership Initial hiring plan and culture strategy for London site established Help the Search, API, AI and Infra teams build out their hiring pipelines   90 Days Core infrastructure team established and ramping in London Clear technical roadmap and priorities defined for London-based teams Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs) London office actively participating in company-wide infrastructure initiatives   1 Year London site operating as a high-functioning hub with 15-30+ engineers Infrastructure teams delivering measurable impact on system reliability, performance, and scalability Strong talent brand established in London market with healthy hiring pipeline London recognized internally as a strategic site contributing to Perplexity's technical leadership   Why Join Perplexity Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company Work on cutting-edge AI infrastructure challenges at massive scale Shape the culture and technical direction of an entire office Competitive compensation including equity Comprehensive benefits package Flexible work environment Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid)  Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

true

Introduction to Demandbase:  Demandbase is the leading account-based GTM platform for B2B enterprises to identify and target the right customers, at the right time, with the right message. With a unified view of intent data, AI-powered insights, and prescriptive actions, go-to-market teams can seamlessly align and execute with confidence. Thousands of businesses depend on Demandbase to maximize revenue, minimize waste, and consolidate their data and technology stacks - all in one platform. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “Best Workplaces for Millennials” and “Best Workplaces for Parents”! We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase! The base compensation range for this position for candidates in the SF Bay Area is: $163,000 - $245,000. For all other locations, the base compensation range is based on the primary work location of the candidate as our ranges are location specific. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years of experience, and depth of experience. About the Role Demandbase is hiring a Principal Product Manager to shape the next evolution of our in-house DSP, transforming it from a powerful B2B media platform into an AI-driven, multi-channel intelligence engine. This PM will play a pivotal role in scaling our DSP across display, video, and emerging media formats, while laying the foundation for agentic workflows, creative personalization, and outcome-driven optimization. You’ll define how Demandbase connects data, creative, and decisioning into one adaptive system that automates success across the full customer journey. It’s a high-impact, technical, and strategic role for a product leader who thrives at the intersection of AI, media infrastructure, and B2B marketing innovation. What You Will Do Own the DSP strategy and roadmap to drive scalable, AI-led performance across all channels, including display, video, and emerging formats. Evolve our optimization engine into an autonomous system that learns, adapts, and recommends actions to maximize pipeline and revenue outcomes. Partner with the Creative Personalization team to integrate adaptive creative and generative content into the media experience. Scale video and CTV activation using our proprietary account graph and identity data to deliver measurable B2B reach and engagement. Advance measurement and experimentation by building causal-lift frameworks that quantify pipeline influence across media types. Work with Engineering and Data Science to bring AI models into production that personalize bidding, pacing, and creative selection. Collaborate cross-functionally with GTM, Marketing, and Finance to define success metrics (media revenue, ROI, cost per pipeline dollar). Represent the advertiser and agency voice internally to ensure our DSP delivers intuitive, high-impact workflows that scale globally. What Will Make You Successful Deep expertise in programmatic media, DSPs, and auction dynamics, with curiosity for how AI is reshaping them. You think like a systems architect, connecting creative, optimization, and measurement into unified intelligence loops. Fluency, or at least demonstrated curiosity, around AI product concepts (agentic systems, reinforcement learning, large model integration) and how they translate to user and business value. Experience expanding into new media formats (CTV, native, video) and solving for scale, latency, and measurement challenges. Strong partnership instincts that help you collaborate effectively across engineering, science, agencies, and GTM teams. Clarity under complexity: you prioritize ruthlessly, communicate with precision, and move teams toward decisive execution. Qualifications 7–10+ years of product management experience, ideally in ad tech, DSPs, or large-scale AI-driven systems. Proven track record of driving growth through media optimization, measurement, or identity innovation. Strong technical literacy and comfort discussing architecture, ML models, or experimentation frameworks with engineers. Understanding of multi-channel programmatic ecosystems and B2B buying behavior. Excellent communication and storytelling skills with both executive and technical audiences. Bonus: Experience with generative AI or creative automation in a media or martech context. Why This Role Matters Demandbase is redefining how B2B advertising works. Our DSP is not just another bidder, it is the foundation of an agentic, AI-powered marketing platform that connects targeting, creative, and measurement to real business outcomes. By joining this team, you’ll lead the evolution of a self-optimizing media platform capable of adapting to each advertiser’s goals, channels, and audiences, from display to CTV to whatever comes next. If you’re passionate about building the future of intelligent, multi-channel B2B media and want to shape how AI transforms advertising at its core, we’d love to meet you.   Benefits: We offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind. Our Commitment to Diversity, Equity, and Inclusion at Demandbase: At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis. We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply! We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.      Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

false

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About the RoleCrusoe is building its next-generation orchestration platform to power GPU-accelerated and high-performance computing at scale. As a Staff Software Engineer on the Managed Orchestration team, you will shape the technical direction of our managed Kubernetes service, delivering systems that allow customers to run advanced workloads across CPUs, NVIDIA and AMD GPUs, and high-performance networking environments.You’ll drive architecture and design for complex, distributed systems that integrate GPU operators, network operators, and CNI technologies (Cilium, Calico, Multus) with Kubernetes, while also supporting high-performance fabrics such as InfiniBand and RoCE. This role requires a blend of deep technical expertise, architectural leadership, and the ability to influence cross-functional teams to deliver reliable, scalable, and secure orchestration for mission-critical workloads.What You'll Be Working On:Lead architecture and design for core features of Crusoe’s Managed Kubernetes platform (multi-tenancy, control plane scalability, cluster lifecycle, and high availability).Drive integration of GPU acceleration in Kubernetes, including device plugin architecture, GPU operators, scheduling, autoscaling, and monitoring.Guide development of advanced container networking capabilities, including CNI plugins, network operators, service meshes, and high-performance fabrics (InfiniBand, RoCE).Define and enforce best practices for security, multi-cluster deployments, and workload isolation across compute, GPU, and networking layers.Partner with product and engineering leadership to set long-term technical strategy and roadmap for CMK.Mentor engineers across the organization, providing technical guidance and elevating standards for design, code quality, and operational excellence.Troubleshoot and resolve complex distributed systems challenges spanning compute, networking, and GPU acceleration.Contribute to and represent Crusoe in open-source communities (Kubernetes SIGs, CNCF projects, GPU and networking ecosystem). What You'll Bring to the Team:8+ years of software engineering experience in distributed systems, cloud, or HPC.Proven track record of technical leadership and driving architecture in production systems.Deep expertise in Kubernetes internals (control plane, operators, API machinery, scheduling).Strong proficiency in Go (preferred) or another systems language (Rust, C++, Python for HPC tooling).Extensive experience with GPU integration in Kubernetes (device plugins, GPU operators, resource allocation).Strong knowledge of container networking (Cilium, Calico, Multus, service meshes) and Linux networking fundamentals.Familiarity with high-performance networking technologies (InfiniBand, RoCE) and accelerator-aware scheduling.Excellent debugging, systems design, and problem-solving skills in distributed systems.Bonus PointsFamiliarity with both NVIDIA and AMD GPU stacks (CUDA, ROCm, NCCL).Experience with Slurm, MPI, Ray, or distributed ML frameworks (TensorFlow, PyTorch, JAX).Contributions to open-source projects in the Kubernetes, GPU, or networking ecosystems.Experience scaling multi-cluster environments and managing interconnects across data centers.Background in security for Kubernetes and GPU workloads (RBAC, PodSecurity, runtime scanning).Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation Range:Compensation will be paid in the range of $204,000 - $247,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

false

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About the Role:We are actively seeking an exceptional Engineering Manager for our Managed Orchestration Team to lead the design and scaling of our carbon-reducing operating model and oversee the management of critical hardware, software, and network components.In this role, you will provide technical and strategic leadership to the team, oversee the development of cutting-edge infrastructure solutions, and ensure alignment with company goals. You will guide the team in writing and reviewing code, contributing to architecture documents, and evaluating tools and frameworks to optimize for reliability, scalability, operational costs, and ease of adoption. Your leadership will be instrumental in advancing our managed Kubernetes and AI training clusters, ensuring they lead the industry in performance and innovation.A Day In The Life:Provide mentorship and guidance to engineers, fostering a culture of creativity, technical excellence, and collaboration to develop scalable and robust software solutions.Lead team efforts to develop and maintain scalable systems, closely aligning with the strategic objectives outlined in the Crusoe Cloud roadmap.Collaborate with tech leads and engineers to create an innovative environment that encourages problem-solving and innovation in cloud solutions.Continuously stay updated on the latest trends and techniques in cloud software and share insights with the team to maintain Crusoe’s competitive edge.Actively contribute to and oversee technical discussions, ensuring architectural decisions are aligned with long-term scalability and reliability goals.You Will Thrive In This Role If:You have 7+ years of experience in software engineering with at least 2-3 years of leadership experience, including team management or technical leadership roles.You have extensive experience with Kubernetes and Linux engineering, including debugging and optimizing system performance.You are skilled in infrastructure as code and familiar with systems-level challenges, with hands-on experience in Terraform and GCP (preferred).You understand orchestration tools such as Argo, CI/CD pipelines, and automated testing frameworks.You have experience building and managing Kubernetes operators and controllers, ensuring the reliability and efficiency of the Kubernetes environment.You can oversee critical projects with broad impact, leading initiatives focused on networking, quality control, and automation to ensure optimal performance and reliability.You possess a strong background in system architecture design, including CI/CD pipelines, and can ensure adherence to security standards.You are proficient in GoLang and have a strong grasp of systems-level programming challenges.You have excellent communication skills, both verbal and written, with the ability to inspire and align teams.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation Range:Compensation will be paid in the range of $204,000 - $247,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

false

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure AI's Reliability team is looking for a motivated and talented Reliability Test Engineering Intern to join our team for an extended internship of 8 to 12 months. In this role, you will be a key contributor to the development and testing of our humanoid hardware systems, ensuring our products are meeting the reliability targets. This is a unique, hands-on opportunity to apply your academic knowledge to real-world challenges in a fast-paced and dynamic environment. Responsibilities:  Design and build custom test stations to perform functional, performance, and reliability testing on key robotic sub-assemblies. Develop mechanical systems incorporating diverse actuation mechanisms, including motors, ballscrews, gearboxes, and feedback devices like torque cells and encoders. Facilitate the electromechanical integration of sensors, motors, and controllers, ensuring proper functionality and communication within the system. Generate detailed 2D manufacturing drawings and documentation, applying Geometric Dimensioning and Tolerancing (GD&T) per ASME Y14.5 standards. Collaborate with cross-functional engineering teams on hands-on testing, data analysis, and iterative design improvements. Contribute to the root cause analysis and resolution of complex hardware-software integration issues across mechanical, electrical, and control domains. Requirements:  Portfolio or website showcasing relevant projects and your role Pursuing a degree in Mechanical, Robotics, Mechatronics, or a related engineering field, with at least two years completed by the start of the internship Proficiency in 3D CAD software for designing complex parts and assemblies. Demonstrated hands-on experience designing, building, and testing mechanical or electromechanical prototypes. Strong mechanical aptitude and a proven ability to take hardware projects from concept to reality. Excellent analytical and problem-solving skills with a keen attention to detail. The US hourly range for this internship position is between $35 - $45/hr.  The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

false

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?We are building a Government Affairs and Public Policy (GAPP) team that has the drive and experience to engage in and shape a nascent and unique policy environment for enterprise AI.As our new UK hire you will bring a day‑to‑day presence with the British Government ensuring Cohere’s voice is heard as AI policy, procurement, and innovation agendas take shape. This is an ideal opportunity for a seasoned professional who thrives on politics, policy, and technology—and who wants to help Cohere be a key player of the UK’s “AI maker” strategy. You’ll work alongside seasoned policy leaders, have direct exposure to executives, and see your insights shape national decisions.In this role you will:Report directly to Cohere’s Lead for EMEA Government Affairs & Public Policy, partnering closely with Cohere’s senior leadership, legal, public policy and responsible AI teams to co-develop, coordinate and implement a government affairs and stakeholder engagement strategy with the goal to advocate for adoption-focused AI policies and related issues.Serve as Cohere’s eyes and ears in London, UK, and Beyond - Build relationships at the working level and cultivate connections with government officials, Parliament and public‑sector innovation teams to ensure Cohere is a trusted resource and partner.Support policy advocacy & procurement - Help craft submissions, briefing notes, and talking points on AI and technology policy initiatives and procurement policy reform efforts.Work closely with sales teams - Support sales development in regulated sectors (such as public sector, banking, healthcare and others).In collaboration with Cohere’s public relations and marketing teams, support effective messaging relating to Cohere’s position on artificial intelligence policy and regulation.Manage government relations consultants and trade associations.Ensure compliance of lobbying and political activities with local laws.You could be a great fit if you have…5-7 years’ experience in government, a minister’s or MP’s office, public‑sector consulting, industry association, or corporate GR/policy role—ideally with exposure to tech, innovation, or procurement files.Foundational understanding of UK policymaking— how bills move,the interplay of Government bodies, regulatory agencies and local government.Strong written & verbal communication—able to distill complex issues into crisp memos and to build rapport quickly with officials and colleagues.Bias for action & intellectual curiosity—you’re motivated to figure things out, ask good questions, and push projects over the finish line.Collaborative mindset—comfortable working across time zones with teammates in Paris, Toronto, Washington DC, and abroad.Passion for AI and emerging tech—you don’t need to be an engineer, but you should be excited by the policy challenges and economic potential of enterprise AI.An undergraduate degree in political science, business, or law (or equivalent practical experiences).Nice to have (but not required):Any other language skills.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

false

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for a Mechanical Engineer to support in the design, testing, and implementation of the head for the Figure robots. Responsibilities: Design parts in 3D CAD that satisfy load conditions, industrial design form factor, and durability requirements. Build prototypes to test assembly, range of motion, and wire routing. Generate accurate 2D drawings using GD&T per ASME Y14.5. Work with our GSM team to select a supplier and order parts. Inspect first articles, build test stands, and provide continuous support for parts on robot development platforms. Requirements:  2+ years of experience in mechanical engineering. Bachelor’s or Master’s degree in Mechanical, Biomechanical, Robotics, Mechatronics, or similar field. Expert in using 3D CAD software to design parts with complex geometry. Experience designing and building prototypes. Experienced with simulation and analysis methodology (FEA, MATLAB, etc.). Ability to write and maintain clean documentation for design processes.  Experience with electromechanical integration, such as sensors, motors, motor drivers, wire harnesses, and communication buses. Bonus Qualifications:  Experience with high volume manufacturing processes. Experience working with contract manufacturers. CATIA V6 Experience. Wire harness design experience. The US base salary range for this full-time position is between $120,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.   

false

Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.👩🏽‍🚀 The Mission:Our AI engineers make a real impact on the safety and ROI of large language models and agentic applications across different verticals and domains. You will work on the cutting edge of envisioning and building new types of tools and algorithms to monitor, explain, and improve such applications and in turn empower our customers.🪐 About The Team:Our engineering team is a dynamic group of builders and thinkers dedicated to solving some of the most cutting-edge challenges in AI safety and reliability. Working on exciting and an expansive range of topics, from the responsible deployment of machine learning models, large language models (LLMs), to complex agentic applications. Our projects are inherently cross-disciplinary, requiring expertise in systems engineering, product engineering, and data science to build robust, scalable solutions. We thrive in a collaborative environment where continuous learning is at the forefront, ensuring every team member stays on their toes with the latest advancements in AI. Joining our team means you'll have the opportunity to make a tangible impact on how AI evolves for the benefit of humanity.🚀 What You’ll Do:Design and build core services and components of a world-class cloud platform to help enterprises develop, monitor and improve their full suite of AI based applications (covering predictive models, LLMs, GenAI models and agentic applications)Lead the design and implementation of distributed systems, microservices and applications that compute, persist, and expose new ML + agentic observability metrics (e.g., response relevancy, hallucination scores) from raw trace dataSpearhead the development of new types of metrics and evaluation capabilities to satisfy evolving customer needs around agentic applications. Take part in conversations with customers around discovery and supportDeveloper in-house AI Agents and GenAI capabilities to augment the Fiddler observability productsDefine and evolve the operational maturity (reliability, observability, SLOs, observability) of core services and components, establish best practices and champion improvements across the teamTeam & Culture Building: you will take an active role in building a world-class engineering team and actively participate in the talent acquisition process through interviewing, candidate evaluation and coaching 🎯 What We’re Looking For:Masters or Bachelors degree in Computer Science or related field, combined with 7+ years of industry experience, with demonstrated solid foundation in software development.Experience with deploying and working with ML/LLM models in production.Experience building, deploying and monitoring agentic applications using common frameworks like Langchain, Google ADK, Amazon Strands, OpenAI and building and integrating MCP ServersHands-on experience working with OpenTelemetry, distributed tracing and LLM-as-a-judge techniquesDeep proficiency with Python and a strong command of essential backend technologies like Postgres, Redis, Kafka, RabbitMQ, Ray. This includes the ability to design, build, and debug complex, large-scale systems.Adaptability & Ownership: proven ability to thrive in ambiguity and a fast-paced environment. We need a self-motivated initiator who can take ownership of projects with a high degree of autonomy, confidently filling in the gaps when the full picture isn't available.System Design & Optimization: A strong grasp of distributed systems and the capacity to troubleshoot production issues.Technical Leadership & Collaboration: Demonstrated ability to plan, execute, and deliver projects by effectively breaking down complex problems into manageable tasks, and guiding a small team of engineers. Must be adept at cross-functional collaboration across a geographically distributed team, working closely with product managers, designers, frontend developers, and data scientists to ensure alignment and successful project outcomesCoaching & Mentorship: you should be an excellent collaborator and a mentor to other team members, raising the technical bar for the entire team and regularly engage in code and design reviews.Ability to work in our Palo Alto office 3 days a week🫱🏼‍🫲🏾 Compensation: $190,000 - $300,000 + equity + benefitsThe posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.

true

Replicant is the industry leader in voice AI for customer service since it was founded in 2017. When you dial the customer service number of one of our customers–like AAA or Fanatics–our bot answers the phone. Over 50% of callers do not even need to talk to a human, and they rate the interaction higher than if they did so. We do this with AI that feels human, scales securely, and delivers real business results. We are backed by top tier Silicon Valley investors and growing rapidly. We are based mostly in the SF Bay Area, Toronto, and New York, and much of our team is distributed throughout other parts of the US and Canada.Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference.In this role, you'll build out rich user experiences on a robust and scalable architecture. You’ll work closely with customers and our product and machine learning teams to create powerful self-service tools that enable users to build powerful and delightful AI-powered conversations for callers.What You'll DoBuild modern, single-page applications using technologies like React and NodeJsProvide technical mentorship, code reviews, and technical project leadership for your teamIdentify and drive the adoption of new technologies, best practices, and design patterns in your teamUse metrics and your team's collective experience to drive development decisionsShare your passion for learning about technical topics with your team and peersParticipate in regular on-call rotations to support our systemsCollaborate with your team to manage and prioritize work through a rigorous, yet lightweight, agile processWhat You'll Do5+ years of Software Development experience in a SaaS environmentExperience leading technical projects and prioritization with a customer-focused mindsetA deep understanding of the unique requirements and challenges of B2B applications. You understand the importance of reliability, scalability, and usability in B2B software.You have a strong grasp of accessibility standards (WCAG, ARIA) and are experienced in developing inclusive web applications that are accessible to all users, including those with disabilities.Experience mentoring junior software engineersAdvanced knowledge of Object Oriented Programming, Test Driven Development, Distributed Systems and API designA desire to create elegant, scalable, and maintainable tools and solutionsExperience with some of our primary technologies: React, TypeScript (or similar) and PostgreSQLFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

true

Replicant is the industry leader in voice AI for customer service since it was founded in 2017. When you dial the customer service number of one of our customers–like AAA or Fanatics–our bot answers the phone. Over 50% of callers do not even need to talk to a human, and they rate the interaction higher than if they did so. We do this with AI that feels human, scales securely, and delivers real business results. We are backed by top tier Silicon Valley investors and growing rapidly. We are based mostly in the SF Bay Area, Toronto, and New York, and much of our team is distributed throughout other parts of the US and Canada.Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference.In this role, you'll build out rich user experiences on a robust and scalable architecture. You’ll work closely with customers and our product and machine learning teams to create powerful self-service tools that enable users to build powerful and delightful AI-powered conversations for callers.What you'll doBuild modern, single-page applications using technologies like React and NodeJsProvide technical mentorship, code reviews, and technical project leadership for your teamIdentify and drive the adoption of new technologies, best practices, and design patterns in your teamUse metrics and your team's collective experience to drive development decisionsShare your passion for learning about technical topics with your team and peersParticipate in regular on-call rotations to support our systemsCollaborate with your team to manage and prioritize work through a rigorous, yet lightweight, agile processWhat you'll bring3+ years of Software Development experience in a SaaS environmentExperience working on technical projects and prioritization with a customer-focused mindsetA deep understanding of the unique requirements and challenges of B2B applications, you understand the importance of reliability, scalability, and usability in B2B softwareYou have a strong grasp of accessibility standards (WCAG, ARIA) and are experienced in developing inclusive web applications that are accessible to all users, including those with disabilitiesAdvanced knowledge of Object Oriented Programming, Test Driven Development, Distributed Systems and API designA desire to create elegant, scalable, and maintainable tools and solutionsExperience with some of our primary technologies: React, TypeScript (or similar) and PostgreSQLFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

false

FECSQ426R273 This role can be based in either Berlin, Munich or remotely in Germany. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of 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, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below 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 distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis 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 About 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.

false

FECSQ426R273 This role can be based in either Berlin, Munich or remotely in Germany. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of 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, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below 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 distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis 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 About 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.