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Job Description: At Shield AI, we are revolutionizing defense technology to protect service members and civilians with intelligent, autonomous systems. Our Hardware Test Engineering team plays a critical role in ensuring the V-BAT remains the most reliable, mission-ready UAV in the industry. We design cutting-edge test solutions—custom-built electrical and mechanical systems that push our hardware to its limits in real-world and extreme environments. As an Electrical Engineer on our Hardware Test team, you’ll have the opportunity to design and automate test systems that validate everything from power electronics to RF communications. You'll work hands-on with PCB design, Python scripting, and advanced environmental testing (HASS, ESS, HALT) to ensure the highest standards of reliability. If you're passionate about building rock-solid hardware and thrive in a fast-paced, multidisciplinary environment, this role is for you. What you'll do:Design and own test systems for critical UAV components and subsystems, from concept to validation.Work across multiple EE disciplines, including power electronics, RF, communications, and system integration.Develop PCBs to interface between test stands and the device-under-test (DUT).Build custom test fixtures integrating relays, PLCs, PCBAs, and harnessing for automated and high-fidelity testing.Automate test sequences using Python, ensuring repeatability, efficiency, and scalability.Collaborate in cross-functional design reviews, advocating for testability improvements that streamline hardware validation.Adapt and innovate in a fast-moving, high-stakes environment, where your work directly impacts mission success.Other duties as assigned. Required qualifications:B.S. in Electrical Engineering or equivalent hands-on experience OR you are an undergraduate, graduate or PhD student expected to graduate in 2025. Strong foundation in electrical, mechanical, and software engineering principles.Experience in multidisciplinary hardware projects—whether through internships, jobs, clubs, personal projects, or research.A track record of ownership, innovation, and delivering results in complex technical environments.A team-first mindset, holding yourself and others to high standards, while being adaptable and solution-oriented.A track record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. Preferred qualifications:Proficiency in Python or other scripting languages for automation.Experience with PCB design tools (Altium, KiCAD, Eagle, etc.).Familiarity with CAD tools (SolidWorks, NX, CATIA) for mechanical fixture design.Ability to problem-solve under pressure and pivot quickly in a dynamic, fast-paced engineering environment.

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About Us   At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.  The Role As a Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models. This role is perfect for individuals with a passion for AI, data operations, and solving real-world problems. Your Responsibilities:Project Leadership – Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams.Data Quality Optimization – Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and. implementing feedback loops.Client & Stakeholder Engagement – Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process.Annotators Training & Coaching– Provide guidance and feedback to the annotation team, ensuring team members are equipped with the context and skills needed to perform high-quality work aligned with project requirements and best practices.Product Innovation – Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies. About you:You have 3+ years of professional experiences, ideally from top strategy consulting firms and/or best-in-class AI companies.You have strong experience in project management, data operations, and/or AI-related workflows.You are proficient in scripting languages like Python, SQL, or familiarity with relational databases and data annotation tools.You are a problem solver with a strong analytical mindset and an entrepreneurial approach to managing projects.You are passionate in AI and machine learning, with experience in computer vision or generative AI being a strong plus.You thrive in fast-paced environments and collaborate with cross-functional teams to drive innovative solutions.You have communication and stakeholder management skills, with the ability to translate technical concepts into clear action plans.

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About Us   At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.  The Role As a Technical Programme Manager, you will be working closely with customers and the wider human data operations team to manage client’s data operations projects. You will be a focal point between the commercial and technical teams at Encord. This role is perfect for individuals with a passion for AI, data operations, and solving real-world problems. Your Responsibilities:Project Management – Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams.Client & Stakeholder Engagement – Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process.Technical Solutioning– Be the expert of Encord products and offer technical advice to client regarding Encord best practices; Proactively suggest ways to improve project efficiencies via advanced platform features (e.g., data agents).Data Analysis– Perform ad hoc data analysis to generate insights for client projects, as well as for internal operations need.Product Innovation – Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies. About you:You have a strong foundation in technical roles with at least 1 year of experience in relevant areas like data operations, AI workflows, or solution engineering.You have experience in project management, operations, and/or client relationship management.You have good understanding of using Python SDKs, APIs, SQL and cloud integrations is needed.You are a problem solver with a strong analytical mindset and an entrepreneurial approach to managing projects.You are passionate in AI and machine learning, with experience in computer vision orgenerative AI being a strong plus.You have a hacker mindset to solve customer problems quickly and efficiently.

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The Business Development Manager - Europe (Southern Europe) will be responsible for building Shield AI’s business opportunities primarily in Southern Europe focused on orders execution and growth. He/she will be responsible for engaging with customers, attending events, and product demonstrations. This person will operate on a small team with a demanding work and travel schedule and a very high level of responsibility and accountability to perform and deliver results, but will undoubtedly have the opportunity to make an outsized impact and become a major contributor to the company WHAT YOU'LL DO:Engage with customers regularly to present and discuss Shield AI productsAttend trade shows, exhibitions, or other industry events to espouse Shield AI productsDevise and coordinate marketing and government relations opportunitiesBuild and devise the structure of industry partnershipsPlan and execute product demonstrationsWork cross-functionally to provide responses to or address customers needsLead proposal responseDevelop offset strategies REQUIRED QUALIFICATIONS:Willing to remain in or expatriate to Europe (minimum two-year overall expat assignment)Exceptional communicator: strong written, verbal, and presentation skills and the ability to communicate seamlessly at all levels of business and governmentCharismatic leader, with the ability to motivate and inspire others and impart excitement about Shield AI’s mission, technology, and productsDesire to help build the defining defense technology company of this centuryThorough understanding and knowledge of the military operations and the acquisition process that allows you to maintain strong customer relations>6 Years of relevant military or prior defense industry or other international business experienceSelf-motivated and results-oriented, with demonstrated success in meeting and exceeding critical goals and deadlinesStrong international relationships and demonstrated ability to work well across and with various cultures, customs, etc.Strong technical knowledge within the UAV and/or AI disciplines (or demonstrated desire ability to learn quickly)Willing and able to travel internationally, frequently and without restriction, including customer sitesTeam oriented with the ability to communicate with a understanding of nuances associated with being collaborative while also being blunt and forthrightTechnically competent in the myriad of systems that are required to function at the speed of businessBachelor’s Degree or appropriate military education PREFERRED QUALIFICATIONS:Specific strategy or business development experience in EuropePrior UAV or AI business development experience in a defense-related contextProven leadership and/or operational experience within the DoD or international equivalents (e.g., MoD)Demonstrated understanding of specific Army/Navy/etc. operational scenarios and systemsStrong research and analysis skillsRelevant Foreign Language Skills (e.g., European languages)

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About Loop Loop is on a mission to unlock profits trapped in the supply chain and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder. Loop’s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, ABB, Tyson Foods, and Estee Lauder  work with Loop. Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson. About the Role We’re doubling our SF engineering headcount from 10+ → 20+, while launching new transportation modalities, scaling volume 20x, onboarding 100s of clients and launching AI powered contract products. We are looking for a seasoned Engineering Leader who can keep shipping velocity high and developing the talent while the org quadruples in complexity.  You will report to our CTO and work closely with functional leads. Responsibilities Lead by example - Loop is an in-person-first culture. We expect you to work 4+ days/week in person in our SF office. Hiring multiplier - Source, close, and onboard top talent; improve funnel metrics. Hire 5+ engineers in SF in the next 6 months. Develop talent - Lead a team of 5‑10 engineers today, scaling to 15+ (incl. 1-2 junior EM) in 12 months. Coach, unblock, and conduct promo/performance cycles. Own the roadmap - Partner with Product on roadmaps; break ambiguous business outcomes into scoped, resourced projects. Drive and accelerate - Own and iterate the end-to-end product delivery process. Further accelerate velocity as the team scales. Qualifications  8 + yrs total software experience, 3 + yrs as a people‑manager. Built and coached teams that shipped customer-facing B2B SaaS on a public cloud (AWS, GCP or Azure). Track record delivering 0 → 1 product features and scaling them to thousands of users. Fluency in TypeScript / Go / Python; comfortable reviewing architecture and PRs. Data‑informed: you’ve run retros with DORA, engagement, and quality metrics. Strong written & verbal communication; adept at explaining trade‑offs to execs and ICs alike. Nice to have Domain exposure to supply chain, fintech, or deep B2B industry. Experience or experimenting with AI native EPD (engineering product design) organizations. Managed managers before. Compensations Base: 200k - 300k Competitive stock options Premium Medical, Dental, and Vision Insurance plans, premiums covered 100% for you 401k plan Unlimited PTO Generous professional development budget to feed your curiosity Physical and Mental fitness subsidies for yoga, meditation, gym, etc

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This role is remote and can be executed across Brazil. About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerLearning & development: Annual discretionary stipend towards professional development.Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.About the roleBe part of an early CS team with endless opportunities for impact . You’ll partner with the CS team to help develop a scalable CS playbook and framework that supports our customers in the DACH regionBuild, maintain and own strong relationships with a book of 40-50 enterprise clients in the Brazil regionPlay a key role in onboarding new clients and driving long term adoption of multiple productsMonitor customer usage and adoption of our products to identify areas for improvement or revenue expansion.Own expansion and renewal of accounts within your book of business - this is a commercial roleOwn your customer success KPIs (NRR/GRR) and contribute to CS OKR goalsRequirements5-7 years of previous experience in Customer Success in a fast paced, SaaS organisation.Experience demonstrating and unlocking value for customers with technical, mission critical products (such as conversational AI)Commercial experience - you will own renewals and expansion for your book of business, driving towards best in class NRR resultsDemonstrates a strong builder mindset with a relentless focus on customer excellence and scalable product solutions.Exceptional communicator with the ability to establish, nurture, and maintain relationships across all levels of customer organizations, including complex stakeholder environments.Strong analytical thinker and creative problem-solving skills to address diverse customer challenges and drive optimal outcomesMust be fluent in Brazilian Portuguese and English#LI-Remote

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doAs one of our early legal hires, you will have the opportunity to join a small but high-impact legal team at an early stage. We are looking for someone who has deep expertise in commercial contracts, but also someone who is also eager to broaden their scope across IP, regulatory, and product. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we’ll provide the support and opportunities you need to grow and excel as a lawyer. You’ll be part of a legal team that is highly respected within both the company and the broader legal industry—committed to excellence, collaboration, and making a meaningful impact.Commercial Contracting: Structure, negotiate and advise on all commercial contracts, including SaaS subscription agreements, technology licenses, professional services agreements, channel partner agreement, vendor agreements and NDAs. Commercial privacy and security contracting experience (e.g., DPAs, BAAs, security agreements) is a plus.Operational Excellence: Help build out our commercial function to be best in class. We aim to be the fastest and strongest, where the legal team is the differentiator in the contract lifecycle. You will be developing templates, playbooks, and workflows to drive efficiency and scalability.Expertise: Deep knowledge of practice areas that underpin the commercial practice, including contract law, IP and privacy. You will also want to work in AI and understand the nuances of law as it relates to AI, including the evolving regulatory frameworks. You will be expected to advise broadly on all contractual issues and be comfortable doing so.Teamwork: A team player first and foremost. Sierra is a unique place to work, with a strong sense of togetherness, and the legal team is no exception. You will look out for your colleagues, be accustomed to sharing and helping the team succeed.Judgement: Understand risk in the context of a hyperscaling business, have sound judgement and be strategic in your decision making. You will not be afraid to make judgement calls, and you will be empowered to do so.Approach: A strong work ethic with an eye for detail. You will strive for perfection, and expect that of others.Collaborate: Collaborate cross-functionally with Sales, Operations, and Agent Development teams to support revenue growth and strategic business initiatives.What you’ll bring2-6 years of legal experience, with a combination of both large law firm and in-house experience at a tech company.A strong background in negotiating and managing complex commercial contracts, preferably in SaaS, AI, or enterprise software.Strong communication skills (verbal and written) and the ability to partner with both legal and non-legal stakeholders.A proactive mindset and the ability to navigate ambiguity in a fast-paced, dynamic startup environment.Even better…Experience of privacy/regulatory frameworks and can advise on data processing agreements and security-related contract provisions.A passion for AI, with a deep understanding of AI products, LLMs and the related legal issues.Law firm experience at a top-tier, internationally recognized law firm.Experience working at a high-growth startup and operating with a sense of ownership.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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At Scale AI, we are not just building AI tools. We are pioneering the next era of enterprise AI. As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations. Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications move from prototype to production, we are investing heavily in the core platform that enables this scale. We are looking for a technical and strategic Engineering Manager to lead our Platform Engineering efforts in Europe. This is a high-impact role focused on building the infrastructure, tools, and abstractions that multiply the effectiveness of our customer-facing teams. You will work closely with our Forward Deployed Engineering (FDE) and product teams to identify the common patterns, pain points, and opportunities in real-world deployments. Your mission is to transform these insights into platform capabilities that enable faster, more scalable, and more consistent solution delivery. Why this role is unique: Massive leverage: Instead of solving a single customer problem, you will design generalizable solutions that unlock speed and scale across many use cases and teams Close to the action: You will partner tightly with our FDE teams and product managers to turn hands-on delivery lessons into reusable platform components Shape the platform: You will guide architecture, tooling, and internal APIs that form the foundation for GenAI applications across industries Accelerate the organization: Your work will directly increase the velocity of customer delivery, reduce repeated engineering effort, and improve product quality This is a rare opportunity to define how next-generation AI infrastructure is built and scaled. If you are excited by the pace of innovation in GenAI, passionate about building leveraged systems, and ready to lead a team that multiplies impact across the company, we want to hear from you. At Scale, we do not just follow AI breakthroughs. We deliver them. Join us and be part of the team shaping the future of AI applications in production.  Why this role is unique: Right place, right time: We are moving from prototypes to production at scale. Our FDE team is on the front lines of this transition, helping customers adopt AI faster and with more confidence. Customer-first mindset: You will foster a culture of deep customer empathy and practical problem-solving. From scoping use cases to shipping solutions, your team will be responsible for every step of the delivery lifecycle. Strategic influence: The lessons from forward-deployed efforts directly inform our core product roadmap. You will work closely with Product and Platform teams to identify patterns, prioritize improvements, and shape the evolution of SGP. Operational excellence: You will bring structure to delivery, improve execution, and scale our engineering operations in a fast-moving environment. This is a rare opportunity to help define how the next generation of AI applications is built and deployed. If you are excited by the pace of innovation in GenAI, passionate about solving real-world problems, and ready to lead a team that is redefining enterprise AI delivery, we want to hear from you. At Scale, we do not just follow AI breakthroughs. We deliver them. Join us and be part of the team shaping the future of AI in the enterprise. You Will: Lead and grow a high-performing team of platform engineers focused on building scalable, reusable capabilities for GenAI applications Partner closely with product managers and forward deployed teams to deeply understand real-world customer problems and delivery bottlenecks Translate learnings from enterprise deployments into generalizable infrastructure, APIs, and tooling that support a wide range of current and future use cases Set the technical direction for our platform, making smart architectural decisions that balance flexibility, performance, and simplicity Define and refine the interface between platform and application teams, ensuring clarity, velocity, and reliability across handoffs Build internal tools and capabilities that accelerate solution delivery and reduce repeated engineering effort across engagements Establish a culture of engineering excellence with a focus on code quality, system reliability, and operational efficiency Work cross-functionally with FDE, product, and infra teams to align roadmaps and maximize leverage across the organization Ensure consistent, high-quality delivery of platform features while maintaining velocity and prioritizing the highest-impact work Provide clarity on strategy, coach engineers for growth, and help recruit and retain top technical talent   Ideally, You Have: 3–5+ years of engineering management experience, ideally in platform or infrastructure teams at high-growth technology companies A strong engineering background and hands-on experience designing scalable systems and developer platforms A product mindset and proven ability to work closely with PMs to shape roadmaps and make tradeoffs that maximize long-term leverage Experience learning from real-world customer use cases and translating those needs into reusable platform capabilities A strong understanding of the GenAI ecosystem and how infrastructure choices affect model performance and user experience Clear, decisive thinking in complex and fast-moving environments A track record of building trust with engineers, cross-functional partners, and senior leaders Operational excellence in planning, execution, and iterative improvement of complex systems Deep familiarity with cloud infrastructure (AWS, GCP, or Azure), APIs, orchestration systems, and modern backend systems Strong communication skills and the ability to align diverse stakeholders around a common platform vision PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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At Scale AI, we are not just building AI tools. We are pioneering the next era of enterprise AI. As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations. Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications go into production, we are expanding our Forward Deployed Engineering (FDE) team to drive hands-on innovation where it matters most: in our customers' environments. We are looking for a technical and strategic Engineering Manager to lead our European FDE team. This is a high-ownership role at a pivotal moment. You will be responsible for delivering high-impact GenAI solutions in production, leading a team that works directly with customers, and ensuring we solve real problems with clarity, speed, and excellence. Why this role is unique: Right place, right time: We are moving from prototypes to production at scale. Our FDE team is on the front lines of this transition, helping customers adopt AI faster and with more confidence. Customer-first mindset: You will foster a culture of deep customer empathy and practical problem-solving. From scoping use cases to shipping solutions, your team will be responsible for every step of the delivery lifecycle. Strategic influence: The lessons from forward-deployed efforts directly inform our core product roadmap. You will work closely with Product and Platform teams to identify patterns, prioritize improvements, and shape the evolution of SGP. Operational excellence: You will bring structure to delivery, improve execution, and scale our engineering operations in a fast-moving environment. This is a rare opportunity to help define how the next generation of AI applications is built and deployed. If you are excited by the pace of innovation in GenAI, passionate about solving real-world problems, and ready to lead a team that is redefining enterprise AI delivery, we want to hear from you. At Scale, we do not just follow AI breakthroughs. We deliver them. Join us and be part of the team shaping the future of AI in the enterprise. You Will: Lead, mentor, and grow a high-performing team of forward deployed engineers supporting enterprise GenAI initiatives Set clear technical direction and foster a culture of ownership, speed, and trust Work hands-on with customers to deeply understand and solve complex business and technical challenges Scope, deliver, and guide the adoption of solutions by embedding directly with customer teams Make smart tradeoffs between speed, scope, reusability, and bespoke solutions Drive technical decisions and help the team navigate system integrations and architecture choices Shape the product roadmap by translating customer needs into scalable platform improvements Build internal tooling and shared capabilities to accelerate delivery across diverse use cases Collaborate across engineering, product, and customer teams to streamline execution and reduce friction Ensure fast, high-quality delivery of features, experiments, and customer launches Provide strategic clarity to your team and attract, hire, and retain world-class engineering talent   Ideally, You Have: 3–5+ years of engineering management experience, ideally in high-growth tech environments with direct customer engagement A strong engineering background and a track record of leading technical teams to deliver impactful products Hands-on experience building or deploying AI-powered systems, with an understanding of how model behavior shapes user experience A deep interest in Generative AI and a belief in its potential to transform enterprise workflows Proven ability to make fast, sound decisions in high-pressure or ambiguous situations The leadership presence to earn trust and respect from engineers, peers, and senior stakeholders Strategic thinking with a clear ability to turn business goals into actionable engineering plans Operational rigor in planning, prioritizing, and delivering complex software systems at scale Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps, and scalable platform architecture Strong communication and collaboration skills, with the ability to align cross-functional teams toward common goals PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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TL;DR - We're looking for a world-class product marketer to drive Lovable’s product adoption and market expansion. You'll lead product launches end-to-end, develop compelling messaging for emerging AI capabilities, and build the frameworks that will scale our go-to-market efforts. We expect exceptional storytelling skills and a proven track record of driving product adoption. You'll join a team building a brand new AI product category, enabling anyone to create software.Why Lovable?Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.What we're looking forA track record of leading product launches at high-growth startups, with measurable impact on user acquisition and retentionProven ability to craft compelling product messaging and positioning that resonates with diverse audiences, including translating technical concepts into clear, engaging narratives for non-technical audiencesAn obsession with understanding users: their motivations, pain points, and language, in order to create messaging that truly resonatesStrong analytical skills with experience using data to optimize messaging and product experienceHigh aptitude for cross-functional collaboration with product, engineering, and sales teamsComfort with ambiguity and ability to thrive in fast-paced, rapidly evolving environments.Bonus: Experience marketing AI productsWhat you’ll doRun product launches from start to finish - strategy, messaging, execution, and measuring what workedDrive more people to use our product through smart campaigns, content, and go-to-market strategiesBe the expert on our market and users - understand who they are, what they need, and how they think about their problems - and use this expertise to inform all of our GTM effortsCreate and refine our core messaging and positioning - you'll shape how people understand what Lovable does and why they need itArm our sales team and everyone else with the materials, talking points, and insights they need to succeedFigure out how to market brand-new AI features that don't have obvious comparisons in the marketHow we hireFill in a short form then jump on an initial exploratory call.We'll send you a quick take-home asking to present your best work over a loom video presentation.Join us for a round of interviews to discuss your experience in more depthJoin us for trial work lasting 1-2 days remote or on-site. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.NotePlease submit your application in English. It’s our company language so you’ll be speaking lots of it if you join.We treat all candidates equally - if you’re interested please apply through our careers portal.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is seeking an experienced Developer Relations Engineer to join our team to create technical content and code examples that empower developers to build with Claude and Anthropic's technologies. This role will be instrumental in crafting high-quality cookbooks, quickstarts, sample applications, and technical resources that demonstrate best practices and innovative use cases. You'll work at the intersection of engineering and education, creating code that not only works but teaches. The ideal candidate combines strong software engineering skills with a passion for helping other developers succeed through clear, practical examples and engaging technical content. Responsibilities: Design and develop comprehensive code examples, cookbooks, and quickstart guides for Anthropic's products and APIs Create sample applications and reference implementations that showcase best practices and advanced use cases Write clear, detailed documentation within code repositories including READMEs, inline comments, and architectural explanations Contribute to open-source repositories that serve the developer community Author technical blog posts that explore engineering concepts, implementation patterns, and innovative applications Collaborate with engineering, product, and research teams to understand new features and translate them into practical developer resources Gather feedback from the developer community to identify gaps in resources and continuously improve content quality Maintain and update existing code examples to reflect API changes and evolving best practices You may be a good fit if you: Have 5+ years of professional software engineering experience with a strong portfolio of technical projects Have a proven ability to write clean, well-documented code that serves as both functional software and educational material Have experience creating technical content such as tutorials, documentation, or educational code samples Have strong programming skills in multiple languages, with expertise in at least Python and TypeScript/JavaScript Have excellent written communication skills with the ability to explain complex technical concepts clearly Have experience with modern development practices including version control (Git), CI/CD, and testing Have a passion for developer education and enabling others to build successfully Are self-directed work style with ability to identify high-impact projects and execute independently Strong candidates may also have: Experience in developer relations, developer advocacy, or technical education roles Background working with AI/ML technologies, APIs, or LLMs Published technical blog posts, conference talks, or open-source contributions Experience building and maintaining developer tools or SDKs Familiarity with multiple programming paradigms and frameworks Active participation in developer communities Experience with video content creation or live coding demonstrations The expected salary range for this position is:Annual Salary:$280,000—$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About UsAt Squint, we're building technology that matters. While many tech companies focus on digital-first industries, we've set our sights on empowering the 80% of the global workforce that keeps our world running: frontline manufacturing operators. From soda cans to tires, toothpaste to chocolate bars, chips to napkin holders, these are the people who build the things you touch and see every single day.The Leading Manufacturing Intelligence PlatformSquint delivers critical knowledge to frontline workers exactly when and where they need it. Our platform transforms manufacturing operations by putting AI and AR capabilities directly at workers' fingertips, creating what we call "agentic manufacturing" – where every team member has the power to make informed decisions in real-time using practical, applied artificial intelligence tools.Proven Impact with Industry LeadersOur technology serves Fortune 500 leaders across Automotive, Consumer Packaged Goods, and Life Sciences industries. These companies trust Squint to capture and activate their essential operational know-how, resulting in measurable improvements: reduced downtime, minimized waste, and optimized productivity at scale.Technology that Respects its UsersWe build consumer-grade software that delivers enterprise-grade results on familiar devices: phones and tablets. By combining cutting-edge innovation with deep customer insights, we create tools that feel intuitive while transforming how physical production environments operate.Backed and Built by the BestOur vision has earned the support of elite investors including Sequoia Capital and Menlo Ventures. Our co-founders have been recognized on Forbes' 30 Under 30 for Manufacturing and Industry, and Fast Company named us one of the most innovative augmented and virtual reality companies of 2025. Our teammates hail from Airbnb, Splunk, Square, Segment, and Ironclad.Join Us in Making a DifferenceWhen you join Squint, you're not just building another app – you're creating technology that improves daily work life for people who manufacture the products our world depends on. It's meaningful work with visible impact.About the JobSquint is growing our team with a Senior Mobile Engineer! In this role, you’ll own and evolve the user experience across our mobile platform—bringing intuitive, performant, and elegant interfaces to life. You’ll help build the core mobile application, implement complex product flows, and integrate cutting-edge capabilities in Artificial Intelligence and Augmented Reality to directly impact the workflows of the world’s largest manufacturing brands. As a Senior Engineer on our engineering-led, growth-stage team, you’ll influence mobile architecture, inform product direction, and collaborate closely with cross-functional counterparts in Design and Product. You’ll also help foster a world-class engineering culture—one that values collaboration, craftsmanship, and impact.Key ResponsibilitiesOwn mobile systems and implementation for core product features across the Squint platform.Collaborate cross-functionally with Product and Design to deliver seamless, high-quality experiences.Translate user needs and product insights into thoughtful UI/UX decisions.Contribute to mobile architecture, design patterns, and performance best practices.Participate in code reviews and help guide high engineering standards across the mobile team.Share your mobile expertise generously, helping to level up the team and influence broader engineering culture.Flexibly contribute to get the job done – we’re a startup!Qualifications6+ years of experience working as a Mobile or Full Stack Software Engineer.Proven experience building polished, performant mobile applications with modern frameworks.Deep understanding of mobile architecture, performance optimization, and state management.Excited about or proficient with AI-enabled developer tooling (Cursor, Windsurf, Claude Code, Devin.ai).Bonus: Experience with Flutter/Dart, Flutter Hooks, Riverpod.Bonus: Experience with mobile Augmented Reality technologies (ARKit, ARCore).Bachelor’s Degree in Computer Science or related field; or equivalent professional experience in technical best practices.High energy, clarity of communication, curiosity, and customer empathy.Team-oriented, collaborative, and high-ownership mindset.Flexibility and adaptability in a fast-paced environment.BenefitsBased out of our office in San Francisco, we love the energy of in-person collaboration.Competitive Salary and EquityComprehensive Medical, Vision, and Dental careFlexible PTO PolicyLunch and Dinner ServiceWellness BenefitMaven Family Planning BenefitsPartnership with Care.comMental Health Services401(k) Retirement PlanPre-Tax Commuter Benefit for Parking & Public TransitCompany-wide RetreatsA Final NoteWe are committed to creating a diverse and inclusive workplace. Squint is an equal opportunity employer, welcoming applicants from all backgrounds without regard to race, gender, age, or any other protected characteristic. We encourage you to apply even if you're not quite sure you fit all the requirements for the role!Ready to redefine the future? Join us at Squint and be a part of something revolutionary.

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About UsAt Squint, we're building technology that matters. While many tech companies focus on digital-first industries, we've set our sights on empowering the 80% of the global workforce that keeps our world running: frontline manufacturing operators. From soda cans to tires, toothpaste to chocolate bars, chips to napkin holders, these are the people who build the things you touch and see every single day.The Leading Manufacturing Intelligence PlatformSquint delivers critical knowledge to frontline workers exactly when and where they need it. Our platform transforms manufacturing operations by putting AI and AR capabilities directly at workers' fingertips, creating what we call "agentic manufacturing" – where every team member has the power to make informed decisions in real-time using practical, applied artificial intelligence tools.Proven Impact with Industry LeadersOur technology serves Fortune 500 leaders across Automotive, Consumer Packaged Goods, and Life Sciences industries. These companies trust Squint to capture and activate their essential operational know-how, resulting in measurable improvements: reduced downtime, minimized waste, and optimized productivity at scale.Technology that Respects its UsersWe build consumer-grade software that delivers enterprise-grade results on familiar devices: phones and tablets. By combining cutting-edge innovation with deep customer insights, we create tools that feel intuitive while transforming how physical production environments operate.Backed and Built by the BestOur vision has earned the support of elite investors including Sequoia Capital and Menlo Ventures. Our co-founders have been recognized on Forbes' 30 Under 30 for Manufacturing and Industry, and Fast Company named us one of the most innovative augmented and virtual reality companies of 2025. Our teammates hail from Airbnb, Splunk, Square, Segment, and Ironclad.Join Us in Making a DifferenceWhen you join Squint, you're not just building another app – you're creating technology that improves daily work life for people who manufacture the products our world depends on. It's meaningful work with visible impact.About the JobSquint is growing our team with a Senior Frontend Engineer! In this role, you’ll own and evolve the user experience across our web platform—bringing intuitive, performant, and elegant interfaces to life. You’ll help build the core web application, implement complex product flows, and integrate cutting-edge AI capabilities to directly impact the workflows of the world’s largest manufacturing brands. As a Senior Engineer on our engineering-led, growth-stage team, you’ll influence frontend architecture, inform product direction, and collaborate closely with cross-functional counterparts in Design and Product. You’ll also help foster a world-class engineering culture—one that values collaboration, craftsmanship, and impact.Key ResponsibilitiesOwn frontend systems and implementation for core product features across the Squint platform.Collaborate cross-functionally with Product and Design to deliver seamless, high-quality experiences.Translate user needs and product insights into thoughtful UI/UX decisions.Contribute to frontend architecture, design patterns, and performance best practices.Participate in code reviews and help guide high engineering standards across the frontend team.Share your frontend expertise generously, helping to level up the team and influence broader engineering culture.Flexibly contribute to get the job done – we’re a startup!Qualifications6+ years of experience working as a Frontend or Full Stack Software Engineer.Proven experience building polished, performant frontend applications with modern frameworks.Our stack includes Typescript, React, Next.js, Vercel, Tailwind, Tanstack Query, Jotai.Deep understanding of modern frontend architecture, performance optimization, and state management.Excited about or proficient with AI-enabled developer tooling (Cursor, Windsurf, Claude Code, Devin.ai).Bachelor’s Degree in Computer Science or related field; or equivalent professional experience in technical best practices.High energy, clarity of communication, curiosity, and customer empathy.Team-oriented, collaborative, and high-ownership mindset.Flexibility and adaptability in a fast-paced environment.BenefitsBased out of our office in San Francisco, we love the energy of in-person collaboration.Competitive Salary and EquityComprehensive Medical, Vision, and Dental careFlexible PTO PolicyLunch and Dinner ServiceWellness BenefitMaven Family Planning BenefitsPartnership with Care.comMental Health Services401(k) Retirement PlanPre-Tax Commuter Benefit for Parking & Public TransitCompany-wide RetreatsA Final NoteWe are committed to creating a diverse and inclusive workplace. Squint is an equal opportunity employer, welcoming applicants from all backgrounds without regard to race, gender, age, or any other protected characteristic. We encourage you to apply even if you're not quite sure you fit all the requirements for the role!Ready to redefine the future? Join us at Squint and be a part of something revolutionary.

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About UsAt Squint, we're building technology that matters. While many tech companies focus on digital-first industries, we've set our sights on empowering the 80% of the global workforce that keeps our world running: frontline manufacturing operators. From soda cans to tires, toothpaste to chocolate bars, chips to napkin holders, these are the people who build the things you touch and see every single day.The Leading Manufacturing Intelligence PlatformSquint delivers critical knowledge to frontline workers exactly when and where they need it. Our platform transforms manufacturing operations by putting AI and AR capabilities directly at workers' fingertips, creating what we call "agentic manufacturing" – where every team member has the power to make informed decisions in real-time using practical, applied artificial intelligence tools.Proven Impact with Industry LeadersOur technology serves Fortune 500 leaders across Automotive, Consumer Packaged Goods, and Life Sciences industries. These companies trust Squint to capture and activate their essential operational know-how, resulting in measurable improvements: reduced downtime, minimized waste, and optimized productivity at scale.Technology that Respects its UsersWe build consumer-grade software that delivers enterprise-grade results on familiar devices: phones and tablets. By combining cutting-edge innovation with deep customer insights, we create tools that feel intuitive while transforming how physical production environments operate.Backed and Built by the BestOur vision has earned the support of elite investors including Sequoia Capital and Menlo Ventures. Our co-founders have been recognized on Forbes' 30 Under 30 for Manufacturing and Industry, and Fast Company named us one of the most innovative augmented and virtual reality companies of 2025. Our teammates hail from Airbnb, Splunk, Square, Segment, and Ironclad.Join Us in Making a DifferenceWhen you join Squint, you're not just building another app – you're creating technology that improves daily work life for people who manufacture the products our world depends on. It's meaningful work with visible impact.About the JobSquint is growing our team with a Staff Software Engineer focused on Backend Infrastructure! In this role, you’ll architect and scale the core backend infrastructure that powers our platform—ensuring performance, reliability, and long-term maintainability. You’ll play a critical role in shaping our foundational systems and services, influencing technical direction, and helping define how infrastructure enables product velocity and engineering excellence. As an early team member, you’ll also help foster a world-class engineering culture—one that values collaboration, craft, and impact.Key ResponsibilitiesLead efforts around our core backend infrastructure, CI/CD systems, observability stack, and deployment pipelines to support Squint's rapid growth.Deliver robust, secure, and scalable infrastructure and backend services that enable fast iteration and enterprise rigor to serve the world’s largest manufacturers.Partner with Engineering leadership on technical strategy and system design decisions.Mentor engineers on infrastructure best practices, performance tuning, and reliability engineering as a part of a curious and ambitious culture of growth.Collaborate with Product, Design, and Engineering to build infrastructure that supports user and business needs and meets compliance standards.Improve uptime, performance, and developer velocity through tooling, automation, and architectural improvements.Participate in incident response and postmortem culture to continuously improve system resiliency.Contribute meaningfully to building a world-class engineering culture.Flexibly contribute to get the job done – we’re a startup!Qualifications10+ years of experience working as a Software Engineer; having worked as a Senior, Staff, or Principal Engineer (or equivalent) in prior companies, with a strong focus on infrastructure, platform, or DevOps.Experience architecting and scaling backend systems in production, with strong knowledge of cloud platforms (GCP, AWS, or Azure).Deep familiarity with infrastructure tools and frameworks: Docker, Kubernetes, Terraform, CI/CD pipelines, monitoring/logging (e.g. Datadog, Prometheus, Grafana).Proficiency with backend languages and environments such as Python, TypeScript (Node.js), or Go.Experience with both relational (PostgreSQL, MySQL) and non-relational (MongoDB, Firestore) databases.Excited about or proficient with AI-enabled developer tooling (Cursor, Windsurf, Claude Code, Devin.ai).Bachelor’s Degree in Computer Science or related field; or equivalent professional experience in technical best practices.High energy, clarity of communication, curiosity, and customer empathy.Team-oriented, collaborative, and high-ownership mindset.Flexibility and adaptability in a fast-paced environment.BenefitsBased out of our office in San Francisco, we love the energy of in-person collaboration.Competitive Salary and EquityComprehensive Medical, Vision, and Dental careFlexible PTO PolicyLunch and Dinner ServiceWellness BenefitMaven Family Planning BenefitsPartnership with Care.comMental Health Services401(k) Retirement PlanPre-Tax Commuter Benefit for Parking & Public TransitCompany-wide RetreatsA Final NoteWe are committed to creating a diverse and inclusive workplace. Squint is an equal opportunity employer, welcoming applicants from all backgrounds without regard to race, gender, age, or any other protected characteristic. We encourage you to apply even if you're not quite sure you fit all the requirements for the role!Ready to redefine the future? Join us at Squint and be a part of something revolutionary.

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Scale AI’s Robotics team is enabling the future of physical AI by building the most advanced data collection and annotation programs in the industry. We are hiring a Director of Robotics Operations to lead these efforts end-to-end—from onsite lab operations to managing distributed contributor networks and downstream annotation workflows. This role will manage a cross-functional operations team including site leads, independent data collectors, strategic project leads, engagement managers, and operational program managers. You’ll collaborate closely with Field Engineers (as key technical stakeholders) and cross-functional partners across Engineering, Product, and Go-To-Market. If you’re an experienced operator who thrives in complexity, excels at building scalable systems, and wants to make a massive impact in a fast-moving space, we want to hear from you. You will: Own and scale the full operations lifecycle for robotics data collection—from onsite physical setups to distributed contractor management and post-processing annotation pipelines. Lead a diverse team including Site Operations Leads, Strategic Project Leads, Engagement Managers, and Program Managers. Manage large networks of independent contributors across the globe to execute high-volume data collection at scale. Build and operationalize high-throughput, high-quality workflows across robotics programs—balancing speed, accuracy, and cost. Collaborate closely with Robotics Field Engineers, who are technical stakeholders responsible for hardware deployment and robotics integrations. Partner cross-functionally with Go-To-Market, Engineering, and Solutions teams to ensure successful execution of complex, customer-facing projects. Define and own key performance indicators (KPIs), including throughput, yield, cost per hour of data, and turnaround times. Solve operational bottlenecks and scale infrastructure to support rapid growth in customer demand and robotics deployments. Operate with urgency and clarity—driving execution while continuously improving workflows and systems. You Have: 10+ years of experience in operations, logistics, robotics, or related fields, with a proven track record leading large, cross-functional teams. Demonstrated ability to manage and scale hybrid workforces—both full-time staff and distributed independent contractors. Experience building and running on-site physical operations (labs, field sites, or hardware-intensive environments). Proven success in high-complexity program execution and cross-functional collaboration. Experience managing highly technical operational workflows with both hardware and software in the loop. Technical fluency and a data-driven mindset; comfort working with SQL or Python is a strong plus. Experience operating in international markets, especially LATAM, including field deployments, compliance, and vendor management. Strong systems thinking, process design, and problem-solving skills. High operational rigor and a drive for continuous improvement. A track record of operational output excellence Nice to Have: Experience in robotics, AV testing, or large-scale data annotation programs. Familiarity with fleet management, compliance frameworks, or automation workflows. Experience optimizing a global workforce with onshore and offshore operations. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of San Francisco is:$204,000—$255,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Role SummaryHelp build the world’s best deep learning cloud by delivering frontend and backend systems that power Lambda's ML and AI platform.What You’ll DoDesign and build intuitive, beautiful web interfaces for ML/AI cloud usersIntegrate top-tier tooling, workflows, and models from the AI spaceOwn features end-to-end—from design to deployment to monitoringYou (Must-Haves)Frontend Experience (6+ years)Responsive web apps using:TypeScriptReact (or equivalent experience in Vue or Svelte)HTML and modern CSSViteBackend Experience (8+ years)Business-critical services using:Python, Unix/Command lineDjango or FastAPIRelational databases like PostgreSQL or MySQLAdditional Core ExperienceCI/CD: Automation around testing and deploymentReliability & Observability: Logging, alerting, and building highly available systemsCloud Native Services: AWS, Okta, Cloudflare, etc.Nice-to-HavesExperience with KubernetesInfrastructure as Code (Terraform, Atlantis, Crossplane, etc.)Event-based or serverless tech (e.g., AWS Lambda, Kinesis)Experience in ML, AI, or data scienceApplication security and web hardeningLeadership or mentorship experienceStrong academic background (EECS, Math, Software Engineering, Physics)Salary RangeThe annual salary range for this position is $225,000-$445,000, with flexibility based on experience and qualifications.Final NoteYou don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We are seeking a Detection and Response Engineering Manager to lead our Detection and Response teams in creating comprehensive Security Observability, Detection Lifecycle, and Security Incident Response programs for Anthropic. You will collaborate closely with teams and leaders across Anthropic, focusing on the observability, detection, investigation, incident response, and intelligence portions of the security lifecycle. You will collaborate closely with preventative security engineering teams and other cross-functional teams. Responsibilities: Manage and grow a high-performing D&R team, planning strategy and hiring to support Anthropic's rapid growth and unique AI safety requirements Navigate prioritization in a fast-paced frontier environment, balancing operational demands with building innovative, scalable solutions for the future Collaborate across security engineering teams to build comprehensive prevention, observability, detection, and response capabilities throughout the security lifecycle Facilitate development of scalable, AI-leveraged D&R solutions that enable self-service observability and detection capabilities across Anthropic Build partnerships with product, infrastructure, and research teams to instill security monitoring best practices Own and continuously improve Security Incident Response, Data Management, and Detection Engineering policies and playbooks Operate our threat intelligence program and maintain relationships with external security partners and information sharing communities Continuously drive capability maturity across the detection lifecycle, establishing metrics and KPIs to measure effectiveness Who you are: 5+ years building detection and response capabilities in a cloud-native organization 5+ years of engineering management experience with a proven track record of building and scaling security teams Deep understanding of security monitoring, threat detection, incident response, and forensics best practices Experienced in securing complex cloud environments (Kubernetes, AWS/GCP) with modern detection technologies Knowledgeable in AI/ML security risks, detection patterns, and response strategies Strong verbal and written communication skills with the ability to distill complex security topics Skilled at collaborating cross-functionally and effectively balancing security requirements with business objectives Able to drive high-impact work while incorporating feedback and adapting to changing priorities Passionate about building diverse, high-performing teams and growing engineers in a fast-paced environment Low ego, high empathy, and have a track record as a talent magnet who attracts and retains top security talent Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$320,000—$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Manager of Embedded Software to lead software development for our field deployed custom hardware systems.  We are developing a broad suite of technologies that enable the operation of our CV/ML platform, including but not limited to camera and computer vision systems, edge and embedded computers, IoT sensors and automated access control systems. As a leader within the Advanced Technologies (AT) organization, you will be responsible for leading the Embedded Software team to define and deliver software that supports current and future hardware systems. You will work closely with members of the Hardware Engineering, Edge Software, Machine Learning, and Technical Operations organizations to define requirements and support deployment of software into production. You and your team will work up and down the stack, from microcontrollers to embedded Linux, and develop both embedded platform and application specific software.  The right candidate will have a broad embedded software background that includes having shipped multiple systems to production, as well as prior team leadership experience. You must be able to thrive and succeed in an entrepreneurial environment, working collaboratively in a fast-paced environment with multiple stakeholders. You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in, and get the job done. If you have a background in embedded systems, sensors, cameras, and computer vision, and are interested in developing systems that go out into the real world, please reach out!   Responsibilities Lead the Embedded Software team to design and build embedded software that enables, integrates, and operates the field deployed Metropolis hardware platform. Guide the teams technically, engaging in architecture definition, implementation of best practices, and hands-on troubleshooting when needed. Mange the team through all phases of embedded software development, from concept and design to deployment and maintenance. Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems. Identify top level embedded software requirements and establish development best practices. Work with Hardware Engineering and Technical Operations to support hardware bring-up, debug and deployment. Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels. Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.   Qualifications  BS in CS/ECE or related engineering discipline 8+ years of embedded software development experience, with at least 2+ years of experience leading and managing embedded software teams 2+ years of experience as a hands-on senior, staff or principal engineer with demonstrated end-to-end ownership of an embedded software project before transitioning into managing teams Experience designing software for embedded microcontrollers (ARM, PIC, etc.) and Embedded Linux (Yocto, Ubuntu, Debian, etc.) in a production environment Expert level knowledge of at least one modern embedded language, such as C/C++ or Rust, including object-oriented design Experience contributing to the designs and architectures of both new and existing software systems, including design patterns, reliability, test strategy and scaling Experience in development and test of common embedded hardware interfaces (GPIO, ethernet, USB, etc.) Experience with real time software development, including RTOS, bare metal embedded systems, and/or Linux kernel/device drivers Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high-growth environments is a plus   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 to $255,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

false

The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role   Metropolis is seeking a Senior Manager to lead software engineering for the Edge Platform: the mission critical backend platform that consumes and organizes event data from our field-deployed hardware and ML systems. We are developing and deploying a broad suite of technologies that enable “AI for the Real World” including cameras, edge compute, sensors, displays, and robotics. In this role, you will lead a team of software engineers to support existing systems and develop the next-generation of the Edge platform. The Edge team integrates real-time hardware events and machine learning outputs into a core mobility identification platform, creating a rich data stream that powers Metropolis applications. As a senior member of the Advanced Technologies organization, you will have the opportunity to shape the future of the platform that not only consumes all of the information from those edge systems, but creates the foundational structures on top of which Metropolis builds remarkable experiences for parking and new verticals. You will work closely with other engineering leaders to ensure your team is balancing a mission critical system with delivering new capabilities that power Metropolis into a future well beyond parking!   Responsibilities  Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem. Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives. Organize the team to support existing edge systems, develop new capabilities, and create a strategy for the future. Guide the team technically, engaging in hands-on troubleshooting, architecture definition and implementation of best practices. Establish robust and right sized processes and mechanisms to ensure the team is freed up to work on building. Develop resourcing plans and coordinate across teams to ensure development schedules are aligned and communicated, and drive engineering efforts to completion. Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels.   Qualifications  BS, MS or PhD in Computer Science or a relevant engineering discipline 8+ years of experience with at least 2+ years of experience leading and managing backend software engineering teams  2+ years of experience as a hands-on senior, staff or principal engineer before transitioning into managing teams Experience as a technical lead or manager designing software systems that have been deployed at scale Experience building distributed backend systems using a variety of service oriented and event driven architectures Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD and related build/test/deploy processes Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems Working knowledge of Scala, Java or other languages that run on the JVM Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high growth environments is a plus   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 to $255,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

false

The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role   Metropolis is seeking a Senior Manager to lead software engineering for the Edge Platform: the mission critical backend platform that consumes and organizes event data from our field-deployed hardware and ML systems. We are developing and deploying a broad suite of technologies that enable “AI for the Real World” including cameras, edge compute, sensors, displays, and robotics. In this role, you will lead a team of software engineers to support existing systems and develop the next-generation of the Edge platform. The Edge team integrates real-time hardware events and machine learning outputs into a core mobility identification platform, creating a rich data stream that powers Metropolis applications. As a senior member of the Advanced Technologies organization, you will have the opportunity to shape the future of the platform that not only consumes all of the information from those edge systems, but creates the foundational structures on top of which Metropolis builds remarkable experiences for parking and new verticals. You will work closely with other engineering leaders to ensure your team is balancing a mission critical system with delivering new capabilities that power Metropolis into a future well beyond parking!   Responsibilities  Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem. Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives. Organize the team to support existing edge systems, develop new capabilities, and create a strategy for the future. Guide the team technically, engaging in hands-on troubleshooting, architecture definition and implementation of best practices. Establish robust and right sized processes and mechanisms to ensure the team is freed up to work on building. Develop resourcing plans and coordinate across teams to ensure development schedules are aligned and communicated, and drive engineering efforts to completion. Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels Qualifications  BS, MS or PhD in Computer Science or a relevant engineering discipline 8+ years of experience with at least 2+ years of experience leading and managing backend software engineering teams 2+ years of experience as a hands-on senior, staff or principal engineer before transitioning into managing teams Experience as a technical lead or manager designing software systems that have been deployed at scale Experience building distributed backend systems using a variety of service oriented and event driven architectures Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD and related build/test/deploy processes Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems Working knowledge of Scala, Java or other languages that run on the JVM. Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high growth environments is a plus   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 to $255,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.