Find AI Work That Works for You

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. What you'll doDesign, implement, deploy, and maintain private APIs for our main web and mobile applications.Design database models.Fix issues with our system that, among other things, may be related to how HTTP/3 handles client-side connections to our processes.Improve database and infrastructure performance by implementing caching solutions or better connection pooling.Profile and find bottlenecks for many types of HTTP/WebSockets requests to enable real-time image generation—and even video!Improve observability, monitoring, and alerting for our service so that we can better respond to operational incidentsScale our service via architectural changes as well as infrastructure improvementsOpen-source any non-trivial innovations that come out of our work on the productDesign and iterate over software development processes so that we can build an web-native and AI-native creative tools for people.Professionalize our main product by adding enterprise-grade features such as Audit Logs, SAML/SSO, SCIM.Our stackJavascript/TypeScriptSvelte & SvelteKitNode, Postgres, and RedisWebSocketsManaged Kubernetes cluster(s) on AWSMonitored and observed via Axiom/HyperDX/Prometheus/OpenTelemetryGitHub, Slack, Notion

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This jobData is one of the fundamental pieces of Krea. Huge amounts of data power our AI training pipelines, our analytics and observability, and many of the core systems that make Krea tick.As a data engineer, you will…… build distributed systems to process gigantic (petabytes) amounts of files of all kinds (images, video, and even 3D data). You should feel comfortable solving scaling problems as you go.… work closely with our research team to build ML pipelines and deploy models to make sense of raw data.… play with massive amounts of compute on huge kubernetes GPU clusters - our main GPU cluster takes up an entire datacenter from our provider.… learn machine learning engineering (ML experience is a bonus, but you can also learn it on the job) from world-class researchers on a small yet highly effective tight-knit team.Example projectsFind clean scenes in millions of videos, running distributed data pipelines that detect shot boundaries and saving timestamps of clips.Solve orchestration and scaling issues with a large-scale distributed GPU job processing system on kubernetess.Build systems to deploy and combine different LLMs to caption massive amounts of multimedia data in a variety of different ways.Design multi-stage pipelines to turn petabytes of raw data into clean downstream datasets, with metadata, annotations, and filters.Strong candidates may have experience with…Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy…KubernetesDesigning and implementing large-scale ETL systemsFundamental knowledge of containerization, operating systems, file-systems, and networking.Distributed systems designAbout usWe’re building AI creative tooling.We’ve raised over $83M from the best investors in Silicon Valley.We’re a team of 12 with millions of active users scaling aggressively.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs an AI Infrastructure Engineer at Abridge, you’ll play a pivotal role in building and optimizing the core infrastructure that powers our machine learning models. Your work will be instrumental in enhancing the scalability, efficiency, and performance of our AI-driven solutions. You will work with our Infrastructure and Research teams to build, deploy, optimize and orchestrate across our AI models.What You'll DoDesign, deploy and maintain scalable Kubernetes clusters for AI model inference and trainingDevelop, optimize, and maintain ML model serving and training infrastructure, ensuring high-performance and low-latency.Collaborate with ML and product teams to scale backend infrastructure for AI-driven products, focusing on model deployment, throughout optimization, and compute efficiency.Optimize compute-heavy workflows and enhance GPU utilization for ML workloads.Build a robust model API orchestration systemCollaborate with leadership to define and implement strategies for scaling infrastructure as the company grows, ensuring long-term efficiency and performance.What You’ll BringStrong experience in building and deploying machine learning models in production environments.Deep understanding of container orchestration and distributed systems architectureExpertise in Kubernetes administration, including custom resource definitions, operators, and cluster managementExperience developing APIs and managing distributed systems for both batch and real-time workloadsExcellent communication skills, with the ability to interface between research and product engineeringBonus Points IfExpertise with model serving frameworks such as NVIDIA Triton Server, VLLM, TRT-LLM and so on.Expertise with ML toolchains such as PyTorch, Tensorflow or distributed training and inference libraries.Familiarity with GPU cluster management and CUDA optimizationKnowledge of infrastructure as code (Terraform, Ansible) and GitOps practicesExperience with container registries, image optimization, and multi-stage builds for ML workloadsExperience orchestrating across ASR models or LLM models for building various GenAI applicationsWhy Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About GPTZeroGPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.What we're looking forIn this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal intern candidate is someone who is a voracious learner, has a history of building applications from the ground up, and can break down complex challenges.You'll be working on a fast-paced team of passionate builders and partnering closely with our ML and design teams, to create industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders.ResponsibilitiesBuild and deploy high-impact, intuitive, AI-driven web apps in React, Node, and TailwindDevelop top-requested features from our users on our dashboard, chrome extensions, and APIUtilize product analytics to make data-driven product decisionsCollaborate with our ML, design, and business teams to develop new product initiativesWear multiple hats and work across the product stackQualificationsComfortable building end-to-end experiences from backend to CSS+2 years of experience with modern web frameworks (Express, Next.js, Typescript, and React)+1 years of experience with databases (PostgreSQL, AWS RDS)Highly motivated to make positive societal impactWork with 5 hours of overlap with Eastern Standard TimeBonus:strong open-source portfolioexperience working in an early-stage startup environmentexperience as a peer-edited writerWho you'll be joiningOur TeamYou will be working directly withAlex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in MLEdmond (our fullstack lead) Obama Foundation Scholar at Columbia University and Editor-in-chief of The Andela WayOlivia (our head of design) on translating your research into outputs for millions of users. Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career.Together, we are committed to making a permanent impact on the future of writing, and on humanity.Our Angels and Advisors Tom Glocer (Legendary Reuters CEO)Mark Thompson (Legendary NYT CEO and current CNN chief executive)Jack Altman (CEO of Lattice, brother of Sam Altman)Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI’s original GPT paper) Emad Mostaque (CEO of Stability AI)Doug Herrington (CEO of Worldwide Amazon Stores)Brad Smith (President of Microsoft)Tripp Jones (Partner at Uncork Capital)Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)Russ Heddleston (CEO of Docsend)Alex Mashrabov (Snapchat, Director of AI)Faizan Mehdi (Affinity, Director of Demand Generation)Our Perks🏥 Health, dental, and mental health benefits💻 Hybrid work in Toronto and NYC offices🚀 Competitive salary🏝 Flexible PTO🎉 Regular company retreats💡Mentorship opportunities with our world-class team, advisors, and investors🙌 Wellness and learning stipend

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Product StrategistLocation: Hybrid/RemoteType: Full-TimeAbout the Role:We are looking for a Product Strategist to lead the development and adoption of the LMArena platform and its leaderboards. This role focuses on increasing visibility and understanding of the core values of the LMArena platform. You will also be creating content that helps the world understand that LMArena is the best place to access all the top AI models and learn which models are the best for their use cases.In this role, you’ll lead the strategic direction of our platform roadmap, working cross-functionally to ship features and grow usage and adoption. You’ll serve as the bridge between the AI community and our internal team, translating real-world needs into product priorities, integration, and communication. You will equally help educate and onboard new users to quickly grasp the value of the platform through marketing content in collaboration with Marketing. Our community includes AI researchers, open-source contributors, and developers building real-world applications with LLMs.This is a high-impact role for someone excited to shape how the AI community measures progress and builds with models in the real world.We believe in evaluation infrastructure that is open, community-driven, and grounded in real-world organic usage. This role is for someone who can advocate for our mission, educate through code and content, and inspire others to contribute to better AI progress.Own and evolve the LMArena leaderboard roadmap in collaboration with our team, setting direction and priorities based on user needs, product metrics, and ecosystem trends.Translate developer needs into product requirements, working closely with engineering, design, and community teams to improve relevance, usability, and clarity of leaderboard features.Collaborate with the data and research teams to refine leaderboard features and ensure leaderboard rankings are interpretable, fair, and aligned with real-world model usage.Collaborate cross-functionally with Engineering, Comms, Marketing and Research to help define how we explain and scale leaderboards.Create educational and inspiring content on a regular cadence, like: trend reports, explainers, demos, or guides that help researchers, builders and Ai professionals understand how leaderboard metrics work, how their input improves model evaluation, and how the AI space is progressing.Shape and amplify LMArena’s scientific voice across X, LinkedIn, and other key platforms. Build trust, grow influence, and make LMArena a go-to source for researchers, academics, and AI professionals.This role is at the intersection of product and marketing/communications. Who is LMArena?Created by researchers from UC Berkeley’s SkyLab, LMArena is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage. Why Join Us?Trusted by organizations like Google, OpenAI, Meta, xAI, and more, LMArena is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback.Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI. Sundar Pichai, Jeff Dean, Elon Musk, and Sam Altman.High Impact: Your work will be used daily by the world’s most advanced AI labs.Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tierExceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford.Requirements:5+ years of experience in product strategy, product management, developer relations, or a related role in a technical product environmentStrong understanding of AI/ML or developer platforms, with the ability to translate technical concepts into product priorities and user-facing featuresProven ability to drive cross-functional product work from strategy to execution, collaborating with engineering, design, and data/research teamsExcellent written and verbal communication skills, with a track record of producing developer-facing content (e.g., product updates, technical explainers, community posts)Experience working directly with developer or research communities; comfortable gathering feedback, prioritizing needs, and acting as a trusted voice of the userA strategic thinker with hands-on execution ability, equally comfortable setting vision and shipping fastPassion for open, community-driven infrastructure and an appreciation for the importance of neutral, trustworthy evaluation in AIPreferred QualificationsBackground in AI/ML (academic, industry, or open-source contribution)Experience working on or contributing to evaluation tools, benchmark platforms, or technical dashboardsFamiliarity with metrics, data visualization, or interpretability in the context of LLMs or developer toolsPrevious experience in a startup or zero-to-one product environmentAbility to code, build demos, or prototype ideas to engage technical users (Python, JS, or similar) What we offer:The cash compensation for this position in the market is not yet finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location.Competitive salary and meaningful equityComprehensive healthcare coverage (medical, dental, vision)The opportunity to work on cutting-edge AI with a small, mission-driven teamA culture that values transparency, trust, and community impactCome help build the space where anyone can explore and help shape the future of AI.

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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 doSierra has built a strong data foundation—now we're looking to grow our Data Science team to unlock its full potential. You’ll play a foundational role in driving data strategy, leveraging rich customer interaction data to improve user engagement and product experience. Partnering with engineering, research, and product teams, you’ll develop predictive models, build experimentation capabilities, and embed data-driven decision-making across the company. This is a unique opportunity to shape Sierra’s data future and make a lasting impact on AI-powered customer interactions. Conduct deep-dive analyses of customer data to identify trends, patterns, and actionable insights for improving the customer experience and product strategies.Develop and deploy machine learning models to analyze customer engagement and optimize experiences across chat, agent interactions, and product usage.Collaborate with product, engineering, and research teams to inform product strategy and execution, build excellent experiences, and experiment rapidly.Partner with the data platform team to ensure robust data pipelines and a scalable infrastructure for conducting advanced analytics.What you'll bringProven Experience: Extensive experience in data science and analytics, with background leading projects from ideation to launch.Curiosity & Customer-centricity: Passion for deeply understanding user needs and finding the right solutions from first principles. Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace. Technical proficiency: Strong proficiency in statistical analysis, machine learning, and data mining techniques using tools such as Python, R, SQL, and cloud-based platforms (e.g., AWS, GCP). Strong analytic skills: Experience with large-scale data analysis, and working with structured and unstructured data (including customer interaction data, chat logs, and user behavior data).Experimentation expertise: Ability to build and evaluate models for experimentation and causal inference, with a clear understanding of designing and analyzing A/B tests.Excellent communication: Strong written and verbal communication skills, with the ability to present complex technical results to non-technical stakeholders.Great Collaboration: Ability to partner closely with product, engineering, and leadership to help bring ideas to life.Even better...Experience working with large language models (LLMs), conversational AI, or agent-based systems.Familiarity with building or improving data platforms for advanced analytics.Exposure to product analytics or customer experience research in a SaaS or consumer-facing tech company.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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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a highly skilled, experienced, and hands-on AI Security Engineer to join our security team, driving the protection of next-generation AI systems against adversarial threats. In this role, you’ll design and implement robust mechanisms to secure self-hosted models, LLM APIs, agents, MCPs, and the core AI stack. You'll empower developers with tools and guidance, as well as technical contributions, enabling innovation while ensuring AI security is strong by default. Our tech stack includes Python, NextJS, TypeScript, Docker, AWS, Kubernetes, and PostgreSQL. Responsibilities Define, build, and refine mechanisms to secure AI systems (including self-hosted models, LLM APIs, agents, MCPs, and other core components of the AI stack) against adversarial behavior of all kinds Understand technically complex AI systems, identify potential weaknesses in their architecture, and implement improvements At least 50% of time performing hands-on remediation. Also working closely with peer engineers to drive remediations Plan and carry out threat modeling activities and realistic threat simulations across our offerings Conduct cybersecurity evaluations and lead AI security assessments in a cross-functional environment Develop initiatives that improve our capabilities to effectively evaluate AI systems and enhance the organization's prevention, detection, response, and threat hunting capabilities Provide guidance and education to developers to help deter and prevent threats Qualifications Hands-on coding and prompting experience. Bachelor of Science or Master of Science in Computer Science or a related field, or equivalent experience Be a technical and process subject matter expert regarding AI security services and attacker tactics, techniques, and procedures Good understanding of LLMs, AI architecture patterns, machine learning models, and related technologies such as MCP Understanding of application security principles and secure coding practices Experience developing and implementing security procedures and policies Strong problem-solving, project management, leadership, and communication skills Self-motivated with a willingness to take ownership of tasks 4+ years of industry experience The cash compensation range for this role is $200,000 - $280,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ's System Software team is responsible for firmware, operating system software, hardware-accelerated algorithms, power management, and core developer frameworks supporting our products. We serve as the glue between our hardware teams and our higher-level software teams, and delight in finding creative solutions to complex, interdisciplinary problems as we bring our product visions to life. As a Lead System Software Engineer on this team, you will design, develop and implement drivers, services and frameworks/HAL to enable on-device experiences to take full advantage of our hardware capabilities. You will collaborate closely with our hardware and product teams to enable delightful user experiences. If you enjoy solving complex problems with a world-class team, we’d love to hear from you. What You Might Do Implement/optimize embedded services for Android and Windows platforms Apply best practices for firmware development, test, and deployment Debug, triage, and fix system level issues Develop automated validation and manufacturing tests Essential Qualifications  10+ years experience developing system software on Android/Windows devices Strong software engineering skills, including design, programming (C, C++, or Java) and debugging Ability to collaborate in a psychologically safe and healthy team environment Preferred Skills Experience with embedded security solutions Experience working with wireless technologies (WiFi, Bluetooth) Experience with the debug of SW and HW, identifying root-causes and recommending fixes Awareness of power/performance tradeoffs in SW design Salary range: $180,000 - $270,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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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 Loop is looking for a Senior Product Manager to own our Intelligence product.  You'll own the vision and strategy for a suite of intelligence solutions that transform complex supply chain data into actionable, decision-ready insights for Loop customers.  What You'll Do Own the vision: Set the narrative and strategy to deliver best-in-class supply chain and spend intelligence  Ship undeniably useful products: Lead conception, strategy, execution, and launch of products that generate value and utility for customers on day 1 Champion the customer: Crystallize market and customer insights into user jobs to be done, problems to solve, and use cases to enable Drive product velocity: Work closely with cross-functional partners in data, design, and engineering, driving effective alignment and decisions  Push the innovation edge: Apply understanding of data modeling, analysis, and emerging AI/ ML methods to experiment with and design modern self-serve analytics experiences  What We're Looking For You're a seasoned product manager with 5+ years of experience who has successfully taken analytics or data products from concept to market launch. You thrive in early-stage environments where you can work directly with EPD and GTM teams, translating complex technical capabilities into products that customers actually want to use. You're naturally curious about customer problems and excel at conducting research interviews that uncover the real jobs-to-be-done behind user requests. Your communication skills help you write clear requirements that keep cross-functional teams aligned, and you can tell compelling stories that rally people around a shared product vision. Most importantly, you have a growth mindset and approach problems with an innovation-first mentality. You're the type of person who sees complexity and immediately starts thinking about how to make it actionable for your customers and end users.  Bonus Points Prior exposure to supply chain and or logistics Background working with AI/ML products or data science teams Benefits & Perks 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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ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEAs an intern at Baseten, you’ll work on real projects and contribute to systems and products that help our users ship their ML products. You won't be off in a corner doing "intern work" – we're moving too fast and have too much to build for that. Instead, you'll receive hands-on support and mentorship to help you grow fast and make a real impact quickly.Engineering interns can join one of our four teams:Core Product: You’ll help build the core Baseten developer workflows that enable users to get value out of ML models. The Core Product team is at the forefront of new product development across a large surface area, including model APIs, training, and dedicated deployment.Forward Deployed Engineering: You will partner closely with our customers to understand their problems and engineer ML solutions. This role provides a unique front-row view into the opportunities and challenges facing companies implementing ML and AI solutions at scale.Model Performance: You will implement, refine, and productionize cutting-edge techniques (e.g. quantization, speculative decoding, KV cache reuse, chunked prefill, and LoRA) for ML model inference and infrastructure.Infrastructure: You'll architect and support development of our ML inference platform that powers production AI applications. You'll make technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability.RESPONSIBILITIESOwn small projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end executionNavigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexityFix bugs and resolve customer issues with urgencyHelp drive long-term improvements to reliability of systems and velocity of developmentDemonstrate pride, ownership, and accountability for your work, expecting the same from your teammatesREQUIREMENTS2+ prior internships or research experiencesMinimum of 3-months commitment required to internWorking towards a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. Advanced coursework in machine learning, systems, and infrastructure is a plus. Graduating in 2025 or 2026.A 5-day workweek, during which you will be in-office in San Francisco or New York a minimum of 3 days a weekFamiliarity with building tools for technical audiencesProficient coding abilities in one or more popular programming or scripting languagesBENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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About the roleAs a Data Scientist at Greenlite, you'll assess and improve the quality of AI systems that help banks and fintechs fight financial crime at a massive scale. You'll work directly with our biggest customers—institutions serving over a billion people—establishing metrics, guidelines, and evaluation frameworks that ensure our AI agents meet the highest standards for accuracy and regulatory compliance. Real customer needs inform your data science work and directly impact our AI quality, so you need to build robust evaluation systems, work effectively with engineering and product teams, understand regulated environments, and adapt quickly.This is a core data science role on our Engineering team. You're an exceptional data scientist who understands that financial institutions need rigorous quality assessment for AI systems operating in highly regulated environments. You'll establish evaluation metrics, design feedback loops, and create guidelines that ensure our LLM outputs meet compliance standards and customer expectations. You're not just analyzing data—you're defining quality standards based on what our most sophisticated customers need for reliable AI-powered compliance operations.Please note: We work in person Monday through Friday in our SF office.What you'll doMonth 1:Master our AI agent platform and understand complex financial compliance quality requirementsShadow experienced team members on LLM output evaluation and customer quality assessmentsEstablish your first evaluation metrics for compliance use cases like sanctions screening and AML investigationsMonth 2:Own end-to-end quality assessment frameworks for major bank and fintech AI deploymentsBuild comprehensive evaluation dashboards and statistical analysis of LLM performance across customer environmentsPartner with engineering and product teams to establish quality guidelines and improvement recommendationsBecome the go-to expert for AI quality assessment in financial compliance applicationsOngoing:Design and implement rigorous evaluation frameworks for LLM outputs in highly regulated environmentsEstablish metrics and guidelines that ensure AI agent responses meet regulatory compliance and customer quality standardsLead statistical analysis of AI performance trends, failure modes, and improvement opportunities across customer deploymentsCollaborate with Engineering, Customer, and Product teams as the AI quality expertWhat we're looking for3-5 years of industry experience in data science, AI evaluation, or machine learning with focus on quality assessmentBachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, or other quantitative fieldStrong proficiency in Python and experience with statistical analysis libraries (pandas, numpy, scipy, matplotlib)Experience with LLM evaluation techniques, prompt analysis, and AI system quality assessmentStrong statistical knowledge including experimental design, hypothesis testing, and performance measurementExperience with SQL, data visualization, and building dashboards for stakeholder communicationUnderstanding of evaluation metrics, A/B testing, and statistical significance in AI system assessmentBonus points:Experience with LLM evaluation frameworks, prompt engineering assessment, or AI safety metricsBackground in financial services, compliance, or other highly regulated industriesExperience with statistical analysis of text data, content quality assessment, or human-AI interaction evaluationFamiliarity with regulatory requirements for AI systems in banking or financial servicesPrevious experience establishing quality standards and evaluation processes for AI/ML productsAbout youYou're a data scientist who thrives at the intersection of statistical rigor and AI quality assessment. You understand that practical data science in AI means establishing reliable metrics and evaluation frameworks that ensure LLM outputs meet the accuracy and compliance standards that regulated industries demand. You're comfortable balancing technical analysis with clear communication of quality insights, and you want your evaluation expertise to have a direct, measurable impact on how financial institutions trust and adopt AI to fight crime.Compensation & BenefitsComprehensive healthcare, 401k matching, commuter benefits15 days PTO + holidays, unlimited sick daysFlexible leave optionsWorking late? We've got you covered with DoorDash and an Uber homeJoin us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products are making a huge impact in the Healthcare industry. As a full stack engineer you will be partnering with AI engineers to build out platforms for Agentic Orchestration, Model Evaluation, Data Insights and Dataset Curation to supercharge AI development. If you value working on greenfield projects and a high level of ownership, this is the right role for you.Tech Stack: NextJS, Typescript, Python, Postgres, Docker, KubernetesWhat You’ll DoBuilding new 0-1 full-stack platform for building, debugging and evaluating LLM outputsDesign intuitive front-end interfaces for evaluating AI systems and productsCollaborate with researchers, engineers, product and design to build and deliver full-stack solutionsEnhance our platform’s performance and scalability, with a focus on creating seamless user experiences.What You’ll BringStrong experience in full-stack software development, with the ability to work across the full-stack necessary to build scientific research platforms or production tools.3+ years of experience building and scaling distributed systems using modern technologies like TypeScript, Python, React, and Node.jsSelf-motivated with a willingness to take ownershipStrong communication skills and ability to work collaboratively in a team environmentBonus Points If…Hands-on experience integrating and working with Large Language Models (LLMs) and APIs, with familiarity with prompt engineeringWhy Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.About the RoleAs a Conversation Designer at Hippocratic AI, you will design, prototype, and refine user-centric conversational flows for LLM-driven healthcare AI applications. You’ll collaborate closely with clinicians, researchers, engineers, and product teams to ensure that all AI interactions are natural, empathetic, and effective across a variety of usability contexts, including patient intake, follow-up instructions, and clinical guidance. Your work will directly influence the safety, clarity, and success of AI interactions in real-world healthcare settings.ResponsibilitiesDevelop LLM-native conversational interactions tailored to healthcare scenarios. Create voice-based conversational designs that prioritize safety, empathy, and clarity while adapting to various contexts (e.g., patient interactions, clinician support).Collaborate with clinicians and engineers to design LLM prompts and responses that enhance interaction quality and effectiveness.Partner with the user research team to gather and incorporate feedback from healthcare providers to refine designs and ensure alignment with clinical workflows.Define and promote best practices and design guidelines for conversational interfaces in healthcare, ensuring consistent and high-quality interactions.Minimum QualificationsBachelor’s degree in Design, Human-Computer Interaction, Computer Science, or related field, or equivalent practical experience.Experience in product design, UX design, or conversation design.Experience designing voice-enabled or text-based interaction flows across various device types and contexts.Knowledge of conversational design principles, including cooperative principles, turn-taking, pragmatics, and cognitive load.Portfolio, website, or relevant work samples showcasing your conversational design work (please provide viewable links or access instructions).Preferred QualificationsMaster’s degree in Design, Human-Computer Interaction, Computer Science, or a related field.5+ years of experience designing conversational experiences, ideally with LLMs or AI-driven products.Experience working in healthcare, with an understanding of clinical workflows and patient-facing applications.Familiarity with speech and language technologies, including ASR, NLU, and TTS.Knowledge of safety and accessibility considerations in designing conversational systems.We are seeking a Conversation Designer who is passionate about creating intuitive and compassionate conversational experiences tailored to healthcare contexts. You will help design voice-enabled and text-based AI interactions for patient-facing and clinician-support applications, leveraging insights from healthcare providers and incorporating best practices in conversational design to drive better outcomes.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

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About the Program The Human Frontier Collective (HFC) brings together domain experts across research, clinical practice, and advanced professional work to contribute to high-impact projects in technology and reasoning systems. As a Medical Fellow, you will apply your clinical training to help develop and evaluate tools that interact with complex medical content. Your work will directly inform how emerging systems reason through diagnosis, triage, and patient care scenarios. PLEASE NOTE: This is a remote, contract-based role. We welcome international applicants based in the EU, Canada, Australia, and New Zealand. Engagements will run for approximately six months with flexible scheduling.  What You'll Do Design Complex Clinical Scenarios Create detailed case studies and clinical reasoning tasks across specialties to test how systems interpret symptoms, assess risks, and prioritize care. Evaluate Decision-Making Approaches Review and critique structured outputs for clinical safety, accuracy, and sound judgment. Identify errors in logic or inappropriate treatment suggestions. Shape Reasoning Frameworks Provide structured, example-driven feedback to improve how models understand differentials, guidelines, and clinical narratives. Work Across Specialized Projects Contribute to targeted workstreams in internal medicine, emergency care, radiology, psychiatry, and other domains aligned with your background. Who Should Apply Graduates of a licensed medical school (MD or DO), who are board certified and in residency / post residency / practicing / or with extensive practice Recent or current clinical experience in inpatient, outpatient, or academic settings Strong writing and clinical reasoning skills, with comfort assessing edge cases and nuanced scenarios Backgrounds welcome from internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields Nurse practitioners, physician assistants, and registered nurses with deep clinical experience may also be considered Fluency in written English is required Why Join the HFC? Contribute to High-Impact Work Apply your medical expertise to problems that require real judgment, not rote recall. Your input will directly influence how complex reasoning tasks are handled. Flexible Remote Work + Competitive Compensation Set your own schedule and contribute from anywhere. Most participants engage between 5-20 hours per week. Pathways for Growth High-impact contributors may be invited to join additional review projects, advisory roles, or research collaborations. How to Apply Submit your CV and a brief summary of your clinical background. Selected candidates will be invited to complete a short trial task and interview.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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Figure is an AI Robotics company developing a general-purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. We’re seeking a Supply Chain Intern to ensure the smooth flow of materials that bring our robots to life. You’ll directly contribute to our day-to-day operations by streamlining purchase order tracking, organizing vital supplier information, and supporting various operational initiatives. This is an opportunity to gain hands-on experience and see how a fast-paced robotics company operates behind the scenes.  Strong performers will have the potential to be considered for a full-time Global Sourcing Analyst (GSA) or Global Supply Manager (GSM) role after graduation. Responsibilities Sourcing Support the execution of global sourcing strategies across a variety of commodities Assist with the collection and organization of Request for Quotation (RFQ) data, such as supplier capabilities and certifications Negotiate Non-Disclosure Agreements (NDAs) with suppliers, ensuring our intellectual property is protected Engage with suppliers, fostering collaboration and continuous improvement Procurement Create and manage purchase orders, communicating with suppliers for material status updates and expedite critical deliveries Track inbound and outbound shipments, ensuring timely delivery and resolving supply chain disruptions Support the identification of alternate sources for materials to mitigate shortages and maintain production readiness Collaborate with internal stakeholders (engineering, production, quality) to ensure part specifications and requirements are met Others Assist in analyzing supply chain data to identify opportunities for improvement in optimization, material planning, and decision-making Participate in cross-functional projects to align sourcing activities with product development and production timelines Requirements Graduated with a Bachelor’s degree in Engineering, Business, Supply Chain, or related field Currently pursuing a Master’s degree in Engineering, Business, Supply Chain, or related field or MBA 2+ years of full-time working experience in supply chain, sales engineering or related fields  Strong organization and communication skills Meticulous attention to detail Skilled at establishing strong relationships with suppliers and internal stakeholders Bonus Qualifications Previous work at a startup or on a very lean team

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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 Director of Machine Learning to guide the research, development, and deployment of our portfolio of machine learning (ML) systems.  We are developing a broad suite of ML technologies that enable “AI for the Real World” including but not limited to computer vision systems, edge and IoT devices, business analysis tools and user facing applications.  In this role,  You will lead multiple ML teams spanning multiple disciplines, including data engineering and data science, as well as the ML algorithms and ML applications teams that power Orion, our computer vision platform.  As a senior leader within the Advanced Technologies Group (ATG), you will develop and execute on a robust machine learning roadmap that balances new initiatives with improvement of mission critical production systems.You will be expected to engage directly with the technical details of the team’s efforts, getting your hands dirty when needed, while also leading the team in a fast-paced, highly distributed environment. The right candidate will have a strong background in machine learning systems and ML team leadership.  You will have professional experience in a variety of machine learning domains, a deep understanding of the entire machine learning development lifecycle and have demonstrated experience taking ML systems from concept to production.  Teams you have led will have been high performing, included team members from multiple technical disciplines, and most importantly will have fostered an inclusive culture.  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.   Responsibilities Lead the Machine Learning teams in the research, design, development, testing and deployment of a variety of machine learning, computer vision, and autonomous systems. Guide the teams technically, engaging in troubleshooting, architecture definition and implementation of best practices Possess a broad skill set spanning data science, machine learning, and engineering, comfortably moving between disciplines to ensure well designed, supportable and scalable solutions are delivered Work closely with cross-functional leaders in Hardware, Edge/Platform, Data and Product engineering and vendors. 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 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. Communicate ideas effectively, verbally and in writing, to a wide range of technical and non-technical audiences, including Metropolis leadership.   Qualifications  BS, MS or PhD in a relevant engineering discipline 10+ years of experience with at least 4+ years of experience leading and managing machine learning or related 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 machine learning systems that have been deployed at scale. Demonstrated expertise in implementing and deploying machine learning algorithms related to computer vision, specifically in object detection/recognition, tracking algorithms, metric learning, and re-identification. Experience in deep learning frameworks such as TensorFlow/PyTorch/MxNet Experience with parallel computing, accelerator architectures including CUDA, CUDNN, TensorRT libraries Experience with large scale datasets, data pipelines, databases tools/libraries Experience deploying ML services to the cloud, including API development and design for scalability, performance reliability. Experience in modern software design, development, version control, refactoring, and testing Working knowledge of at least one modern programming language such as Python or C/C++ Knowledge of professional software engineering practices at the SDLC. Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products Demonstrated track record of developing engineers through various careers stages and building high-performance teams. 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. Role is hybrid on-site in either Seattle, WA or Santa Monica, CA.   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 $210,000.00 to $245,000.00 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.  

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results. About the RoleWe're seeking a Software Architect to lead the technical architecture and design of our next-generation autonomous security platform. You'll architect cloud-native systems that enable continuous, automated security operations, supporting our mission to make proactive offense-informs-defense capabilities accessible to organizations of all sizes.What You'll Build As a Software Architect, you'll design and oversee the technical foundation for:AI-Driven Security Platform: Architect deterministic, production-safe automation systems that enhance security operations with intelligent, context-aware capabilitiesEnterprise Integration Layer: Design seamless integrations with identity providers, cloud platforms, security tools, and monitoring systems across the security ecosystemAutomated Response Systems: Build scalable systems that translate security insights into actionable remediation and mitigation capabilitiesReal-Time Security Orchestration: Architect event-driven systems that coordinate threat detection, response, and validation workflowsSecurity Data Architecture: Design robust systems for ingesting, processing, and acting on security telemetry from diverse sources at enterprise scaleKey ResponsibilitiesTechnical Architecture & DesignLead architectural decisions for security platform modules spanning multiple security domainsDesign cloud-native, multi-tenant architecture supporting customers from SMB through enterpriseArchitect integration frameworks that embed seamlessly into existing customer security infrastructureDefine technical standards and patterns for production-safe automation in security-critical environmentsPlatform EngineeringDesign scalable data pipelines that process security findings and orchestrate automated responsesArchitect event-driven systems that coordinate security testing and defensive capabilitiesBuild robust API and integration layers supporting extensive security tool integrationsDesign fault-tolerant systems with comprehensive audit trails and rollback capabilitiesCross-Functional CollaborationPartner with product managers to translate platform vision into technical roadmapsCollaborate with security engineers to design systems that leverage security intelligenceWork with domain specialists to architect security-specific capabilitiesGuide engineering teams on implementation of architectural decisionsTechnical LeadershipMentor engineering teams on cloud-native design patterns and security automation best practicesEstablish engineering standards for security, scalability, and reliabilityLead technical reviews and architecture decision records (ADRs)Drive technical strategy discussions with leadership teamRequired QualificationsTechnical Expertise8+ years of software engineering experience with 4+ years in senior architecture rolesExpert-level AWS knowledge: Deep experience architecting applications in AWS environmentsCloud-Native Architecture: Proven experience designing microservices, event-driven architectures, and serverless applications at scaleAPI & Integration Design: Strong background in RESTful APIs, webhooks, and complex third-party integrationsData Architecture: Experience with real-time data processing, streaming architectures, and data pipeline designEngineering LeadershipTrack record of leading technical architecture for enterprise software productsExperience scaling systems from startup to enterprise-grade requirementsStrong background in designing secure, compliant systems handling sensitive dataExperience with infrastructure-as-code and CI/CD practicesBusiness AcumenUnderstanding of cybersecurity markets and enterprise software requirementsExperience building products that integrate with existing enterprise toolchainsAbility to balance technical excellence with business requirements and delivery timelinesPreferred QualificationsSecurity Domain KnowledgePrevious experience in cybersecurity, security tooling, or compliance softwareUnderstanding of enterprise security operations and incident responseFamiliarity with security frameworks and compliance requirementsTechnical SkillsExperience with security tool APIs and integration patternsBackground in automation platforms, workflow engines, or security orchestrationKnowledge of security tools and enterprise management systemsExperience with observability and monitoring in distributed systemsIndustry ExperienceBackground at high-growth B2B SaaS companiesExperience building products for technical practitionersPrevious work on products with complex integration requirements Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work. Competitive Compensation: We offer competitive salary and benefits which includes health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave. Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.Base salary range: $207,000 - 295,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.Additional compensation: This role may also be eligible for an equity package (in the form of stock options). If any other compensation benefits apply, they will be discussed during the interview process.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. 

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. If you're ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success. How you'll make an impact Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer Use Dataiku to demonstrate the business value articulated in the usage scenarios Design and create Dataiku additional demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer; lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors Answer questions and provide technical guidance to the customer’s technical team regarding the demonstrated or evaluated solutions Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management What you'll need to be successful Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems Experience in technical pre-sales, preferably in a high-growth environment Experience in the data science, analytics, or big data markets preferred but not required Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc) Comfortability talking to all levels of customer teams from individual contributors to C-level executives Experience in Analytics/AI or other enterprise software Previously worked in a fast paced, growing company Currently located within the tristate region Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.  Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.US only national base pay ranges$158,000—$180,000 USD  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an AAI Engineering Manager, you’ll manage a team of high-calibre Applied AI Engineers + MLEs who work with clients to train ML models to satisfy their business needs. Your team’s work will range from training next-generation AI cybersecurity firewall LLMs to training foundation agentic action models making predictions about business-saving outcomes. You will guide your  team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will:  Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.  Manage a team of 5+ Applied AI Engineers / ML Engineers Work with product and research teams to identify opportunities for ongoing and upcoming services. Explore approaches that integrate human feedback and assisted evaluation into existing product lines.  Create state of the art techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 3 years of model training, deployment and maintenance experience in a production environment At least 1-2 years of management or tech leadership experience Strong skills in NLP, LLMs and deep learning  Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models PhD or Masters in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.  Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.  Strong written and verbal communication skills to operate in a cross functional team environment 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.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$212,000—$254,400 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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Get to Know UsAt Horizon3.ai, we’re redefining the offensive cybersecurity space—and we need a forward-thinking, technically fluent Senior Product Manager to lead our API platform, integration strategy, and MCP server development. This high-impact role is central to enabling scalable integrations, extensibility, and automation across our product ecosystem.You’ll work closely with engineering, platform architects, and customers to shape our developer-facing APIs, internal service interactions, and third-party integrations. This is a pivotal opportunity for a product leader who thrives at the intersection of developer experience, system architecture, and platform product strategy.We’re looking for someone with a builder’s mindset, a strong technical foundation, and a track record of driving cross-functional execution. If you’ve led platform/API initiatives, owned integration roadmaps, or shipped complex backend products in a high-growth SaaS environment, we want to hear from you.What You’ll DoOwn the API & Integration Platform Vision – Define and drive the strategy for our external and internal APIs, ensuring scalability, security, and ease of use for both internal teams and external developers.Drive MCP Server Product Development – Partner with engineering to evolve our Model Context Protocol (MCP) server—focusing on orchestration, performance, and extensibility.Lead Integration Strategy – Build and manage a portfolio of third-party integrations (e.g., ticketing, SIEMs, EDRs, SOARs, identity providers). Prioritize based on customer needs and strategic value.Define Developer Experience – Champion a best-in-class developer journey. Ensure our API documentation, SDKs, authentication flows, and sandbox environments are intuitive and robust.Work Cross-Functionally – Collaborate with Security Research, Engineering, and Customer Success to translate technical requirements into scalable platform features.Translate Complexity into Roadmaps – Break down complex technical concepts into actionable plans. Prioritize and sequence platform enhancements to support both customer use cases and internal product needs.Enable Internal Product Teams – Ensure APIs and internal services are reusable, well-documented, and built for scale. Partner closely with other product managers to drive alignment and platform consistency.What We’re Looking ForYou’ve worked at high-growth SaaS startups and know how to move fast without breaking things.You’ve led API platform or integration product efforts at a SaaS or cybersecurity company.You’re comfortable owning deeply technical products—APIs, servers, internal microservices—and working with architects and senior engineers.You’ve driven adoption of APIs, SDKs, or integration frameworks by both internal developers and external partners.You think in systems and platforms, not just features.You balance user needs, technical feasibility, and strategic impact in every decision.You excel at cross-functional collaboration and aligning product vision with technical execution.You’re comfortable getting into the weeds—whether it’s in spreadsheets, dashboards, or user flows—and just as comfortable zooming out to set direction.Required Background6+ years of experience in product management or technical product roles, ideally in B2B SaaS or cybersecurityDemonstrated ownership of API platforms, developer tooling, or integration ecosystemsStrong technical fluency—comfortable working with RESTful APIs, authentication standards (OAuth, SAML), and backend architecturesExperience partnering with platform, infrastructure, or backend teamsFamiliarity with Agile methodologies and product delivery in complex technical environmentsBonus PointsPrior hands-on development experience or a CS/engineering degreeExperience with agentic AI workflows and toolsExposure to event-driven architecture, service orchestration, or middleware productsBackground in cybersecurity, IT automation, or infrastructure toolingExperience with developer platform metrics, SDK adoption, and community engagementLocation & Travel RequirementsPreferred location: San Francisco Bay Area, New YorkUp to 15% travel requiredCompensation and Values:At Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.In accordance with various State’s transparency regulations, we provide the following salary range information for this position:Base salary range: $200,000 - $285,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.Additional compensation: This role may also be eligible for an equity package (in the form of stock options). If any other compensation benefits apply, they will be discussed during the interview process. Perks of Horizon3.ai:Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the flexibility to work in the way that supports you and brings out your best.Competitive Compensation: We offer competitive salary and benefits which includes health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave. You Belong Here:Horizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, hair length or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other Duties:Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Application Note:In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.