About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Senior Operational Performance Engineer to track vehicle performance and uncertainty from conceptual design through production and to lead the evidence strategy that closes the gaps. You will maintain the vehicle-level picture of predicted performance, measured performance, and the confidence each claim deserves. You will define the engineering questions that matter most, determine what analysis and test evidence is needed to answer them, and drive measured-data insights back into the conceptual design and MDAO tools that generate the next prediction. This is a vehicle-level engineering role. You will work across Conceptual Design, MDAO, GNC, Propulsion, Mechanical, Flight Test, and other engineering teams to track performance, identify risks, define evidence requirements, establish assessment criteria, and drive uncertainties toward closure. You will work closely with the Mass Properties and Vehicle Performance engineer, whose records and baselines feed your tracking and assessment work. This role is part of Operational Performance within Mach's Vehicle Design and Performance organization, alongside Conceptual Design and MDAO. Conceptual Design creates, MDAO enables, and Operational Performance assesses and closes t
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About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a New Grad Manufacturing Engineer to own the industrialization of our products for high-rate production. In this role, you will work closely with the Product Engineering, Build Engineering, Automation Engineer, and Manufacturing Operations teams to design, validate, and launch high-volume manufacturing systems using cutting-edge Manufacturing Engineering techniques. This role is focused on building at scale— delivering reliable hardware at speed. At Mach Industries, we are building decentralized, autonomous systems to maintain an allied American edge in modern warfare. As a Manufacturing Engineer, you will play a pivotal role in developing flexible, adaptable manufacturing systems that enable rapid production at scale. Working with a world-class engineering team, you will bridge the gap between design and rate-manufacturing, delivering solutions that ensure manufacturability, cost-efficiency, and maximum speed of ramp. Key Responsibilities Take extreme ownership of production planning, from late-stage prototype builds through the mass-production ramp at Mach’s Forge Factories. Design high-throughput manufacturing systems that achieve world-class first-pass yield at target cycle times. Drive product design optimization
Req ID: FEQ327R410 The Role As a Solutions Architect in the Benelux Strategic Accounts team, you will play a lead role in driving the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy with customer accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (Delivery, Specialist & Partner Solution Architects) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales and/or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapi
Req ID: FEQ327R409 The team The Fungible team is the “rapid-response squad” within the Field Engineering organisation that engages with customers on the most strategic, highest-potential opportunities across Benelux and the Nordics to accelerate critical use cases, land technical wins, and drive successful Databricks adoption. If you enjoy working on novel use cases across a variety of industries on highly visible engagements, this is the right home for you! The role As a Fungible Solutions Architect, you lead the technical strategy on time-boxed, targeted engagements - typically one to five months - aimed at accelerating a specific set of critical customer workloads from evaluation to a production-grade technical win. You own the architecture conversation, drive platform adoption, and act as a trusted advisor to customer architects and engineering leaders, then transition the momentum you've built to the core account team. You bring technical depth and the judgment to apply it fast, in situations that require strong ownership and are highly visible . Where a specialisation helps you contribute quickly, great — but on this team, breadth, adaptability, and a bias for impact matter just as much as your area of depth. The impact you will have Accelerate what matters most: parachute into strategic, high-profile opportunities and own a clearly defined technical area, moving critical workloads and use cases from evaluation toward production and consumption. Lead the architecture: design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, and lead the whiteboarding, design reviews, and trade-off decisions with senior customer stakeholders. Win the technical decision : demonstrate Databricks' differentiation through custom-built solutions in competitive, must-win scenarios. Move fast while maintaining the bar: establish momentum quickly in ambiguous situations and compress timelines without cutting corners. Hand off, don't hold on :
Req ID: FEQ327R409 The team The Fungible team is the “rapid-response squad” within the Field Engineering organisation that engages with customers on the most strategic, highest-potential opportunities across Benelux and the Nordics to accelerate critical use cases, land technical wins, and drive successful Databricks adoption. If you enjoy working on novel use cases across a variety of industries on highly visible engagements, this is the right home for you! The role As a Fungible Solutions Architect, you lead the technical strategy on time-boxed, targeted engagements - typically one to five months - aimed at accelerating a specific set of critical customer workloads from evaluation to a production-grade technical win. You own the architecture conversation, drive platform adoption, and act as a trusted advisor to customer architects and engineering leaders, then transition the momentum you've built to the core account team. You bring technical depth and the judgment to apply it fast, in situations that require strong ownership and are highly visible . Where a specialisation helps you contribute quickly, great — but on this team, breadth, adaptability, and a bias for impact matter just as much as your area of depth. The impact you will have Accelerate what matters most: parachute into strategic, high-profile opportunities and own a clearly defined technical area, moving critical workloads and use cases from evaluation toward production and consumption. Lead the architecture: design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, and lead the whiteboarding, design reviews, and trade-off decisions with senior customer stakeholders. Win the technical decision : demonstrate Databricks' differentiation through custom-built solutions in competitive, must-win scenarios. Move fast while maintaining the bar: establish momentum quickly in ambiguous situations and compress timelines without cutting corners. Hand off, don't hold on :
About the role We're looking for a Senior Motion Designer to own motion graphics and GTM video output across Perplexity's social channels. Video is one of our most important channels for telling the Perplexity story, and we want someone whose primary focus is producing a steady stream of high-quality, on-brand motion work that performs. This is a video-production-first role. You'll spend most of your time concepting, animating, and shipping GTM materials for social — fast, polished, and distinctly Perplexity. In a secondary capacity, you'll help define our motion principles and contribute to broader creative technologist work as our motion practice matures. You'll report into the Brand/Creative Studio team and work closely with Brand, Growth, Comms, and the Producer to keep the pipeline moving. What you'll do Own the creation of motion graphics and video content for our social channels — concepting, storyboarding, animating, and delivering GTM materials end-to-end Make video production your primary focus: a consistent, high-volume output of polished, on-brand motion work Bring ideas to life across 2D and (where relevant) 3D, from styleframes and animatics to final delivery Partner with Brand and Growth to turn launches and campaigns into motion that lands on social Contribute to Perplexity's motion principles, systems, and templates so motion scales consistently across the team (secondary focus) Contribute to broader creative technologist explorations — new tools, techniques, and AI-assisted workflows (secondary focus) Collaborate with the Producer on scoping, scheduling, and delivering work on time What we're looking for Senior-level experience in motion graphics and animation, with video production as your core craft A strong portfolio of expressive motion work — especially social, campaign, and GTM content that demonstrates range and polish Deep command of animation fundamentals: timing, spacing, composition, visual rhythm, and design sensibility Expert proficien
Perplexity is looking for a technical program manager to be the connective tissue between our model providers, engineering, and product teams, driving our core inference platform forward. Perplexity runs one of the highest-throughput inference stacks in the industry, serving Ask, Computer, and API traffic across a large and constantly shifting portfolio of first-party and third-party models. This role sits at the intersection of product, engineering, and finance: you'll orchestrate across model providers and internal teams to keep new models and capacity moving smoothly into production, while executing the roadmap for the inference platform itself. The ideal candidate has strong technical judgment, thrives coordinating across teams and external partners with competing timelines, and is energized by building the operating model for a function that doesn't have much precedent yet. Our Mission Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. What You'll Do Execute the roadmap for the inference platform request handling, rate limits and quotas, usage controls, and the reliability and observability surface engineering and product teams depend on Be the connective tissue bet
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion. You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads. EXAMPLE INITIATIVES Recent and upcoming work in this area: Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials Agent credentials that grant an agent exactly the access it needs for the gi
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution. You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written. This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale. WHAT YOU'LL DO: GTM Planning, Target Setting & Market Intelligence Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning Support quota framework development, helping trans
The opportunity We're looking for a Product Cybersecurity Engineer to help ensure that Polestar's products meet global cybersecurity standards and regulatory requirements throughout the vehicle lifecycle. In this role, you will work across concept, development, production, and post-launch operations, contributing to the implementation and validation of cybersecurity requirements that help safeguard our vehicle systems. Let us describe the challenge we offer As a Product Cybersecurity Engineer, you will play a key role in defining, integrating, and verifying technical security controls across our products. Working closely with R&D, suppliers, and cross-functional teams, you will support secure product development through threat analysis, secure design, cybersecurity validation, and regulatory compliance activities. This role is located at our HQ in Gothenburg, Sweden. What you'll do You will be responsible for implementing and validating cybersecurity requirements across the vehicle lifecycle while supporting compliance with standards and regulations such as ISO/SAE 21434 and UNECE R155. This includes: Define, decompose, trace, and maintain product cybersecurity requirements and assurance cases. Perform and/or support Threat Analysis and Risk Assessments (TARA) and risk treatment activities. Plan and execute cybersecurity validation and verification activities, including testing and reviews. Review supplier cybersecurity work products and support the closure of identified findings. Support the generation of technical evidence required for regulatory audits and type approvals. Collaborate with system architects, software and hardware teams, and functional safety teams to ensure secure integration. Contribute to the continuous improvement of security engineering methods, tools, and templates. Who you are You are an experienced cybersecurity engineer with a strong background in product or embedded cybersecurity. You enjoy working collaboratively across disciplines and a
Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems. This role is hybrid in Belgrade, London or Berlin. Responsibilities Find and diagnose quality issues in our search pipeline Design metrics from scratch to track and measure search quality Build datasets for model training, including LLM-as-a-judge labeling pipelines Improve search snippet quality and page selection algorithms for indexing Design and analyze A/B experiments to validate improvements Qualifications 4+ years of experience as a data analyst or in a related role Strong coding skills — expected to write production-grade code at a mid-level backend engineer level Proficiency with SQL and Python Demonstrated hands-on experience with at least one of the following: Designing metrics from scratch (not just analyzing existing A/B experiments) Building labeling pipelines using LLM-as-a-judge Training ML models that shipped to production with measurable metric improvements Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals Nice to have Experience working on search-related products Knowledge of statistics and A/B experiment design Experience with Apache Spark or Databricks
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. Within Education, we partner with universities, schools, research institutions, and countrywide education systems to advance responsible, mission-aligned uses of AI. These environments require more than technical deployment: success depends on institutional trust, thoughtful governance, stakeholder education, change management, and a value narrative that resonates with academic leaders, researchers, IT teams, faculty, administrators, and students. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. About the Role As an Applied AI Architect for Education, you will be the senior technical owner for a named portfolio of education customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business,” shaping each institution’s AI strategy and guiding its journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable institutional impact. You will own the technical account plan across ChatGPT Edu, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate institutional priorities into a focused portfolio of use cases, an actionable adoption roadmap, and a clear path to durable value and growth. The Account Director owns the commercial strategy; you own the technical strategy, customer journey,
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Construct and fit statistical, machine learning, or optimization models. Write production modeling code. Collaborate with Software Engineers to implement algorithms in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data. Communicate findings. Facilitate launch decisions. Experience: Master’s degree or foreign equivalent in Mathematics, Statistics, Economics, or related field. 2 years of experience in job offered, Operations Research, or related occupation. Experience with solving unstructured and non-standard mathematical problems. Experience with end-to-end data including querying, aggregation, analysis, and visualization. Experience with Python and other programming languages such as R and MATLAB. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution. You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written. This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale. WHAT YOU'LL DO GTM Planning, Target Setting & Market Intelligence Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning Support quota framework development, helping translat
About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Senior Automation Engineer, Robotics to develop and deploy our industrial robotics platform across manufacturing. You will establish standardized architectures for industrial robots and collaborative robots, develop robotic automation for pilot production lines, and create the software, hardware, safety, and integration standards used to scale robotics across Mach factories. This is a hands-on engineering role. You will design robotic cells, program and commission robots, develop ROS 2-based robotics applications, integrate vision and end-of-arm tooling, and work directly with manufacturing engineers and systems integrators to take automation from concept through production. Key Responsibilities Develop Mach's standardized robotics platform for industrial robots and cobots. Define robot hardware, software, communication, safety, and integration standards for production equipment. Design, program, integrate, and commission robotic automation for pilot and production manufacturing systems. Develop reusable robotics software and architectures using ROS 2, finite state machines, behavior trees, and native industrial robot programming environments. Establish software engineering standards for robotics including CI/CD pipe
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