Find AI Work That Works for You

true

About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in model-based engineering, deep learning, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries. We invite you to join our team of the world’s best engineers and AI researchers, building AI’s most impactful use case.About the Role:As the Infrastructure Engineer on our Customer Engineering Team, you'll build the custom integrations for Archie to transform engineering design workflows globally. You’ll own the infrastructure that brings Archie into the live engineering environments of major industrial OEMs from pilot to production. Your work sets the standard for how Archie specializes to each customer, with your code and configurations reused across deployments. This is a high-impact, high-visibility opportunity with potential to scale into a technical leadership role.Responsibilities:Deploy Archie into customer environments: configure secure, robust solutions across diverse customer systems (VPNs, VPCs, Windows/Linux, containerized platforms).Develop user-facing tools: build MCP/API interfaces and robust back-end integrations linking Archie to customer systems like CAD software, simulation servers, and ERP databases.Collaborate closely with engineering teams: partner with modeling and AI specialists to continuously refine Archie's integration and enhance product capabilities based on customer feedback.Resolve critical infrastructure issues: coordinate troubleshooting, drive root-cause analysis, and implement lasting resolutions alongside customer IT teams.Document scalable solutions: produce clear and reusable infrastructure blueprints, guidelines, and technical documentation for future implementations.Qualifications:Required:You've built enterprise-grade tooling in Python or C# within large-scale Windows/Linux environments.You've managed deployments within secure enterprise IT infrastructures involving containers, CI/CD pipelines, infrastructure-as-code, and authentication/security protocols.You've maintained hybrid infrastructure setups including VPN configurations, firewall management, and cloud-to-on-prem connectivity.You're skilled at rapid troubleshooting in live production scenarios and experienced in collaborating with customers during incident response.You're comfortable and effective interacting directly with customer engineers and IT leaders to align on technical objectives.Desirable:You have familiarity integrating systems within CAD/CAE ecosystems (e.g., Siemens Teamcenter, PTC Windchill) and enterprise resource planning systems like SAP.You have experience operating Kubernetes-based infrastructure, with monitoring and observability tools (Prometheus, Grafana).You have exposure to compliance and regulatory frameworks typical in safety-critical hardware sectors.Interview Process:Initial screening: Head of Talent (30 min)Technical manager interview: Head of Customer Engineering (45 min)System design session: build production infra using your own setup (60 min)Culture fit & mission: with co-founder & CEO (30 min)

true

About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:We’re seeking an exceptional AI Research Scientist to help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation. You’ll be leading projects that develop agentic AI systems designed to solve real-world mechanical, electrical, and aerospace engineering problems—systems that think, remember, act, and adapt.This is not a “pure research” position: we’re looking for a hacker-scientist hybrid—someone who’s published in top venues but is not afraid of any layer in the tech stack.What You’ll Do:Design and implement agentic systems that autonomously solve physical engineering tasks.Develop advanced memory, retrieval, and planning architectures for LLM-based agents.Apply (or invent) reinforcement learning strategies for reasoning, planning, and online adaptation.Contribute to both research strategy and technical implementation—this is a hands-on role.Collaborate with a small, elite team of researchers and engineers across domains.Stay on the edge of what’s possible and bring promising ideas into reality.About you:Have experience at the frontier of AI research (e.g., LLMs, RL, memory systems, agent architectures).Are passionate about applied problems—especially in mechanical, aerospace, or electrical engineering domains.Are fluent in Python and major ML/AI frameworks (PyTorch, JAX, etc.).Thrive in fast-moving environments and feel comfortable working towards underspecified goals.Have a “whatever it takes” mindset: you’re the kind of person who makes things work.Can go from whiteboard to working prototype without waiting for someone else to “engineer” it. Preferred Qualifications:PhD in Computer Science, Robotics, Engineering, Math, or a related technical field (or equivalent experience).Relevant publications in top-tier venues of your field.Experience with physical engineering domains a plus.Familiarity with agent tool-use, retrieval-augmented generation, or long-term memory systems.Deep knowledge of reinforcement learning algorithms and practical challenges.Interview process:Initial screening - Head of Talent (30 mins)Hiring manager interview - Head of AI (45 mins)Technical Interview - AI Chief Scientist (45 mins)Culture fit / Q&A (maybe in person) - with co-founder & CEO (45 mins)

false

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. Most people are aware that the AI revolution is driven by data. What most people don’t know is that this data is hosted on large, high-performance storage arrays measured in petabytes. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available.The Storage team is a multidisciplinary group of Storage Engineers, Software Engineers, and SREs. This close-knit team is motivated by a shared passion for delivering top-tier storage solutions to our customers. As both a product and operations team, we collaborate closely to accelerate development, deployment, and, most importantly, build resilient storage offerings.We are looking for a Ceph subject matter expert to support our latest Storage initiative. Starting with Object Storage, Ceph will form the backbone of our next-generation, differentiated storage solutions. The ideal candidate will train current Storage Engineers, advise on key Ceph decisions, and drive strategic Ceph initiatives.What You’ll Do:Design, deploy, and maintain highly available 40PB+ Ceph clustersPerform cluster upgrades, expansions, and performance optimizationsConfigure and optimize RBD, CephFS, and RadosGW servicesMonitor cluster health, performance metrics, and capacity utilizationDevelop capacity planning models and growth projectionsTrain others on CephYou Have:Bachelor's degree in Computer Science, Engineering, or equivalent experience5+ years of experience in storage engineering or distributed systems5+ years of hands-on experience with Ceph administration and troubleshootingStrong understanding of storage protocols (NFS, iSCSI, S3, Swift)Proficiency with Linux system administration and storage subsystemsExperience with storage hardware (SSDs, HDDs, NVMe) and networking technologiesKnowledge of monitoring tools (Prometheus, Grafana, Nagios) and log analysisUnderstanding of data protection concepts, backup strategies, and disaster recoveryNice to HaveCeph Certified Professional or equivalent certificationExperience with other distributed storage systems (GlusterFS, HDFS, MinIO)Experience with public cloud storage services (AWS S3, Azure Blob, GCP)Familiarity with storage benchmarking tools (fio, rados bench, COSBench)Experience with programming in Go is strongly preferred.Experience with configuration management tools (Ansible, Puppet, Chef)Understanding of network protocols and storage networking (RDMA, iSER)Salary Range InformationBased on market data and other factors, the annual salary range for this position is $380,000-$460,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

false

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Senior Full Stack Back End Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Responsibilities Back End Focused - Design, develop, and maintain scalable and high-performing web applications using modern technologies and frameworks. Collaborate with cross-functional teams to gather and analyze user requirements and translate them into technical specifications. Develop and implement front-end user interfaces and intuitive user experiences. Write clean, secure, and efficient code to ensure high-quality software development. Conduct thorough testing and debugging to ensure software functionality and reliability. Participate in code reviews and provide constructive feedback to improve code quality and maintainability. Keep up to date with industry trends and emerging technologies to continuously enhance the software development process. Completes all technical tasks assigned in each sprint Understands and improves all code bases currently under development Keep products up to date with new technology Assist in product releases, revisions, patches and code reviews Support and troubleshooting issues with existing code Collaborate closely with other teams within the organization Researches new technology and best solutions for each problem Be transparent in sprint planning/retrospectives Requirements Proven experience as a Full Stack/ with heavy back end experience designing and developing web applications. Proficiency in programming languages such as JavaScript, Python, Node.js Strong knowledge of front-end technologies including JavaScript frameworks (e.g., React/Typescript). Experience with back-end technologies like Node.js, Express.js, and relational databases (e.g., MySQL, PostgreSQL). Familiarity with cloud technologies (e.g., AWS, Azure) and containerization (e.g., Docker, Kubernetes, Argo CD, Kafka) Knowledge of version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum). Superb verbal and electronic communication skills Experience with DevOps - prefer AWS Security principles and architecture Prior experience in Risk, Underwriting and/or Payments Industry is preferred Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Vacation Work From Home Free Food & Snacks (in office) Wellness Resources

true

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Senior Data Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.As a Senior Data Engineer, you will lead the design and development of data services and platforms that power our AI-driven products. You'll focus on creating well-structured, validated APIs and event-driven pipelines, enabling scalable, secure, and maintainable data workflows. This is a backend-heavy role ideal for engineers who thrive on clean architecture, automation, and cross-functional delivery.Responsibilities Design and build production-grade **FastAPI services** to serve, validate, and enrich data for ML and analytics use cases Create and maintain **asynchronous event-driven pipelines** using  *Apache Kafka**, ensuring reliable and scalable communication across microservices Define and enforce structured data contracts using **Pydantic** and OpenAPI standards Develop robust, containerized data services with **Docker** and deploy them using modern cloud-native tooling Build and optimize analytical models and data flows in **Amazon Redshift** for business-critical reporting and data science consumption Collaborate with data scientists, ML engineers, and backend developers to streamline data sourcing, transformation, and model inference Own the lifecycle of data services — including monitoring, observability, testing, and deployment pipelines Maintain rigorous standards around data privacy, schema governance, and system performance Design, build, code and maintain large-scale data processing systems and architectures that support AI initiatives. Develop and implement data pipelines and ETL processes to ingest, transform, and load data from various sources. Design and optimize databases and data storage solutions for high performance and scalability. Collaborate with cross-functional teams to understand data requirements and ensure data quality and integrity. Implement data governance and data security measures to protect sensitive data. Monitor and troubleshoot data infrastructure and pipeline issues in a timely manner. Stay up-to-date with the latest trends and technologies in data engineering and recommend improvements to enhance the company's data capabilities. Requirements 7+ years of professional experience in backend-focused data engineering or platform development Strong proficiency in **Python**, with hands-on experience using **FastAPI**, **Pydantic**, and asynchronous programming patterns Deep understanding of **event-driven architectures** and experience with **Kafka** (producers, consumers, schema evolution, retries, etc.) Experience designing and deploying **containerized services** with **Docker** (Kubernetes or Fargate experience is a plus) Proficiency in SQL and experience with modern cloud data warehouses, preferably **Amazon Redshift** Familiarity with cloud services (preferably AWS), including CI/CD, infrastructure-as-code, and observability tooling Experience integrating third-party APIs and working with versioned schema contracts Strong communication and collaboration skills, especially in cross-functional and agile teams Experience working with ML engineers to operationalize models (e.g., batch scoring, online inference, data validation at model boundaries) In-depth knowledge of data modeling, data warehousing, and database design principles. Strong programming skills in Python, SQL, and other relevant languages. Experience with relational and NoSQL databases, such as PostgreSQL, MySQL, MongoDB Proficiency in data integration and ETL tools, such as Apache Kafka, Apache Airflow, or Informatica. Familiarity with big data processing frameworks, such as Hadoop, Spark, or Flink. Knowledge of cloud platforms, such as AWS, Azure, or GCP, and experience with data storage and processing services in the cloud. Understanding of data governance, data privacy, and data security best practices. Strong problem-solving and troubleshooting skills, with a focus on data quality and system performance. Excellent communication and collaboration skills to work effectively with cross-functional teams. Prior collaborative work with data scientists or machine learning professionals with respect to sourcing, processing and scaling both input and output data Comfortable going through documentation of third-party API’s and identifying best procedures for integrating data from API’s into broader ETL processes  Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

true

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Infrastructure Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Worth is looking for a Data Infrastructure Engineer to build and maintain the foundational systems that power our data platform. In this role, you will design, implement, and optimize scalable, reliable, and secure data infrastructure that supports analytics, data science, and product applications across the company.The ideal candidate is deeply experienced with modern data architectures, cloud platforms, and data orchestration tools. You are passionate about automation, performance tuning, and ensuring high availability of data services. This is a critical role on our data team and offers the opportunity to shape the long-term data strategy of the organization.Responsibilities Design, build, and maintain scalable and resilient data infrastructure in a cloud environment (AWS, Azure, or GCP). Develop and maintain ETL/ELT pipelines using orchestration tools such as Airflow, Dagster, or dbt. Optimize data workflows for reliability, performance, and cost efficiency across structured and unstructured datasets. Manage data lake and data warehouse environments (e.g., Snowflake, BigQuery, Redshift, Delta Lake). Ensure data security, privacy, and compliance, including role-based access control, data encryption, and audit logging. Collaborate with data scientists, analysts, and product teams to ensure data accessibility, accuracy, and availability. Support real-time and batch data processing frameworks, including Kafka, Spark, Flink, or similar tools. Monitor, troubleshoot, and improve the observability and performance of data systems using tools like Prometheus, Grafana, or Datadog. Maintain CI/CD pipelines for data infrastructure using Terraform, GitHub Actions, or similar tools. Requirements 5+ years of experience in data engineering, infrastructure engineering, or a related field. Strong programming skills in Python, Node.js. Proficient in SQL and experience with distributed query engines (e.g., Trino, Presto). Experience with cloud-native data platforms such as AWS Glue Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation). Familiarity with containerization and orchestration tools such as Kafka and Kubernetes. Solid understanding of data governance, quality frameworks, and data lifecycle management. Ability to work in a fast-paced, collaborative environment with a focus on impact and delivery. Experience in streaming data architecture and tools like Apache Kafka, Kinesis, or Pub/Sub. Background in supporting machine learning or analytics platforms. Exposure to data mesh, data contracts, or modern data stack concepts. Knowledge of DevOps principles applied to data systems. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

true

Worth AI, a leader in the computer software industry, is looking for a talented and experienced VP of Data, Analytics and AI to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Worth AI is seeking a strategic and hands on and execution-oriented Vice President of Data to lead our data function as we scale. This role is central to shaping how data is acquired, structured, commercialized, and governed across the company. The ideal candidate brings deep experience in data strategy, monetization opportunities, and operational excellence—transforming data into a key business asset that drives commercial value, innovation, and competitive advantage. Our Vice President of Data will have distinct expertise in credit modeling and experience collaborating with third-party data providers. This role requires a dynamic leader to drive our data strategy, combining innovative risk solutions with top-tier data science, machine learning, and AI methodologies.ResponsibilitiesHands-On Leadership & Team Management Lead a growing team of approximately five data professionals across engineering, analytics, data science, and governance. Be a hands-on leader who actively engages in code reviews, model reviews, and technical deep dives to stay connected to the day-to-day realities of engineering and data science work. Set a high technical bar while mentoring and developing team members, fostering a culture of innovation, ownership, and collaboration. Data Acquisition & Partnerships Lead the end-to-end strategy for acquiring first-party, second-party, and third-party data sources aligned to business priorities. Evaluate and negotiate data licensing agreements and strategic partnerships to grow our data asset portfolio. Design robust, scalable, and compliant ingestion pipelines for efficient data integration and enrichment. Risk, Fraud, and Credit Model Development Utilize data science, machine learning, and AI techniques to design, test, and deploy advanced risk, fraud, and credit scoring models.Commercial Applications of Data Identify, define, and execute on opportunities to monetize data assets—both directly and through data-enabled products and services. Partner closely with Product, Sales, Marketing, Strategy, and Customer Success to integrate data insights into go-to-market initiatives and client-facing solutions. Translate data into actionable business intelligence that informs strategy and drives measurable business growth. Scalability & Operational Excellence Build scalable, repeatable processes for data management—spanning integration, transformation, quality assurance, and delivery. Champion the adoption of modern data platforms and tools (e.g., Snowflake, Databricks, dbt) to support real-time decision-making and automation. Develop and lead a high-performing data team across engineering, analytics, data science, and governance, fostering a culture of innovation, collaboration, and accountability. Data Governance & Compliance Own and evolve data governance frameworks to ensure integrity, quality, security, and compliance with global regulations (e.g., GDPR, CCPA). Establish clear data ownership and stewardship models, along with standardized policies for access, lineage, and privacy. Proactively manage data risk and embed ethical practices into all aspects of data use and monetization. Cross-Functional Collaboration Partner with engineering, product, finance, and other internal teams to ensure alignment on data initiatives. Serve as the internal advocate for data as a strategic asset, ensuring organizational alignment around data value and strategy. Requirements Bachelor’s or Master’s  in Data Science, Computer Science, Statistics, or a related discipline 10+ years in data leadership roles, including at least 5 years leading large-scale data initiatives in fast-paced, data-driven environments. Experience with risk technology or credit modeling in enterprise contexts is a strong plus. Proven expertise in monetizing data assets and building governance structures at scale. Strong understanding of data platforms (e.g., Snowflake, Databricks), cloud architecture, data pipelines, and modern analytics tooling. Demonstrated ability to lead multidisciplinary teams, craft vision and strategy, and drive tactical execution. Outstanding communication and stakeholder management skills, with the ability to convey complex data concepts to technical and non-technical audiences. Deep experience in data science, machine learning, AI, and credit or risk modeling. Strong problem-solving and data interpretation skills with a focus on delivering results. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

true

Worth AI is seeking a talented and passionate Full Stack/Back End Developer (Data) with a solid track record of building scalable systems for data-driven companies. With experience working across cloud infrastructure, APIs, and large-scale data pipelines, Bring your deep technical expertise and a passion for solving complex engineering challenges to Worth. Work with high-volume data environments, where performance, reliability, and clean architecture were mission-critical. Our team in revolutionizing the way businesses make decisions through the power of AI. As a Full Stack Developer, you will play a crucial role in developing cutting-edge software solutions that drive equitable decision-making. Your work at Worth AI will contribute to creating a more inclusive and diverse business world, as we strive to be the cornerstone of a more equitable world.At Worth AI, diversity of thought is at the core of our values. We believe in creating an environment where diverse perspectives are celebrated and embraced. As a Full Stack Developer, you will have the opportunity to work with a team of individuals who share a common purpose - to make a meaningful difference and redefine worth in the business industry.Responsibilities Full stack but Back End Focused - Design, develop, and maintain scalable and high-performing web applications using modern technologies and frameworks. Determine data requirements and develop solutions that support strategic goals. Collaborate with cross-functional teams to gather and analyze user requirements and translate them into technical specifications. Write clean, secure, and efficient code to ensure high-quality software development. Conduct thorough testing and debugging to ensure software functionality and reliability. Participate in code reviews and provide constructive feedback to improve code quality and maintainability. Keep up to date with industry trends and emerging technologies to continuously enhance the software development process. Completes all technical tasks assigned in each sprint Understands and improves all code bases currently under development Keep products up to date with new technology Assist in product releases, revisions, patches and code reviews Support and troubleshooting issues with existing code Collaborate closely with other teams within the organization Researches new technology and best solutions for each problem Be transparent in sprint planning/retrospectives Requirements 7+ years of proven experience as a Full Stack/ with heavy back end experience designing and developing web applications. Experienced Engineer who has prior experience focusing on DATA - whether it be Data Infrastructure, Data Platform or Data Engineering Proven experience working with ETL/ELT Data Flows and data processing Proficiency in programming languages such as JavaScript, Python, Node.js Strong knowledge of front-end technologies including JavaScript frameworks (e.g., React/Typescript). Experience with back-end technologies of Node.js, Express.js, and relational databases (e.g., MySQL, PostgreSQL). Familiarity with cloud technologies (e.g., AWS) and containerization (e.g., Docker, Kubernetes, Argo CD, Kafka) Knowledge of version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum). Superb verbal and electronic communication skills Experience with DevOps - prefer AWS Security principles and architecture Prior experience in Risk, Underwriting, Data and/or Payments Industry Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Vacation Work From Home Free Food & Snacks (in office) Wellness Resources

true

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Senior Full Stack Back End Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Responsibilities Back End Focused - Design, develop, and maintain scalable and high-performing web applications using modern technologies and frameworks. Collaborate with cross-functional teams to gather and analyze user requirements and translate them into technical specifications. Develop and implement front-end user interfaces and intuitive user experiences. Write clean, secure, and efficient code to ensure high-quality software development. Conduct thorough testing and debugging to ensure software functionality and reliability. Participate in code reviews and provide constructive feedback to improve code quality and maintainability. Keep up to date with industry trends and emerging technologies to continuously enhance the software development process. Completes all technical tasks assigned in each sprint Understands and improves all code bases currently under development Keep products up to date with new technology Assist in product releases, revisions, patches and code reviews Support and troubleshooting issues with existing code Collaborate closely with other teams within the organization Researches new technology and best solutions for each problem Be transparent in sprint planning/retrospectives Requirements Proven experience as a Full Stack/ with heavy back end experience designing and developing web applications. Proficiency in programming languages such as JavaScript, Python, Node.js Strong knowledge of front-end technologies including JavaScript frameworks (e.g., React/Typescript). Experience with back-end technologies like Node.js, Express.js, and relational databases (e.g., MySQL, PostgreSQL). Familiarity with cloud technologies (e.g., AWS, Azure) and containerization (e.g., Docker, Kubernetes, Argo CD, Kafka) Knowledge of version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum). Superb verbal and electronic communication skills Experience with DevOps - prefer AWS Security principles and architecture Prior experience in Risk, Underwriting and/or Payments Industry is preferred Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Vacation Work From Home Free Food & Snacks (in office) Wellness Resources

true

About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why This Role Matters:As a Senior Technical Product Manager at Rad AI, you’ll lead the definition and execution of our most technically complex initiatives—those that sit at the intersection of AI, healthcare & radiology workflows, and deep system integrations. Your work will directly impact how healthcare organizations adopt and scale our products across RIS, PACS, and EHR platforms.You’ll partner with engineers, data scientists, designers, and customers to build deeply integrated, enterprise-grade software that improves radiologist efficiency and diagnostic accuracy. This is a high-ownership role where product strategy meets technical execution, and where domain knowledge in radiology integrations is not just valuable—it’s essential.What You'll Be Doing: Lead product strategy and development for critical platform integrations with RIS, PACS, and EHR systems (e.g., Epic, Cerner, Visage, Intelerad).Translate customer needs and regulatory requirements into technical product specifications and delivery plans.Drive alignment between cross-functional teams on technical architecture, workflow impact, and customer rollout strategies.Collaborate directly with healthcare IT teams, radiologists, and implementation leads to ensure seamless deployments in complex enterprise environments.Own the success of your product area through rigorous prioritization, clear documentation, and continuous iteration.Define KPIs, success metrics, and product health indicators across reliability, performance, and adoption.Contribute to Rad AI’s broader platform strategy, bringing a systems mindset to interoperability, scalability, and clinical usability.Stay current with industry standards (IHE, HL7, FHIR), regulatory considerations (HIPAA, SOC 2), and the evolving radiology vendor ecosystem. Who You Are:Bachelor’s degree in Computer Science, Engineering, Biomedical Informatics, or a related technical field.5+ years of experience in product management, including 3+ years working on technical or platform-level products in healthcare or enterprise software.Deep experience in healthcare integrations—you’ve worked hands-on with systems like Epic Radiant, PowerScribe, or PACS platforms, and understand the intricacies of real-time clinical workflows.Hands-on mindset—you thrive in the details, whether it's writing technical product specs, mapping out integration flows, or debugging implementation blockers with engineering.Excellent communicator—you can break down complex topics for both technical and non-technical audiences, and drive alignment among diverse stakeholders.Customer-focused—you bring empathy for radiologists and healthcare IT teams, and a strong desire to solve real-world clinical problems.Dynamic—you’re comfortable in fast-paced, evolving environments where priorities shift and your ability to deliver results is what sets you apart.It’s a Plus if You Also Have:Experience building healthcare SaaS products at a growth-stage company.Familiarity with HL7, FHIR, DICOM, and IHE integration standards.Experience with AI/ML-enabled software or data infrastructure.Product ownership across multi-tenant or enterprise-scale platforms.Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

false

About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role:   Glean is looking for Backend/Infrastructure engineers to build a highly performant, scalable, secure, permissions-aware system that makes all the relevant enterprise knowledge readily available to employees in all contexts of their work. The role provides ample opportunities to work on various aspects of building a modern cloud-native application stack using the latest best practices  - examples of some technical challenges you can work on are building a scalable, reliable distributed system and underlying storage, a unified application framework and data model that makes it easy to index diverse sources of information, end-to-end aspects of security - application layer, platform layer as well as IT security, laser focus on making the experience feel instant, while at the same time balancing the system cost implications, and tooling for comprehensive monitoring and deployment of the system in multiple cloud environments.   You will: Own impactful infrastructure problems from inception and architecture to production launch Write well thought out design documents and robust, high-quality and well-tested code Work collaboratively with a strong team to identify the most impactful projects we should be prioritizing in our roadmap Mentor more junior engineers or learn from battle tested ones You are: 3+ years of experience BA/BS in computer science, or related degree Experience working on infrastructure for distributed systems or cloud-native applications Key knowledge and skills Thrive in a customer-focused, tight-nit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features Strong coding skills (for example in Go/Python/Java/C++ etc) with an emphasis on designing for reliability and scale, and writing well-tested components Familiarity with cloud native development practices in GCP/AWS/Azure is a plus Location:  This role is hybrid (3 days a week in either San Francisco or Palo Alto) Compensation & Benefits: The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

false

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role: xAI is seeking an experienced Commercial Counsel to support procurement efforts for AI datacenters, including hardware, infrastructure, and related services, as well as other general procurement contracts. This role involves negotiating high-value deals, ensuring compliance, and supporting our mission to advance AI technology. This position reports to the Commercial Counsel, Data Center and Procurement Lead. This is a hybrid position that requires up to 25% travel to Memphis, TN and Palo Alto, CA.  Key Responsibilities:  Draft, review, and negotiate a wide range of commercial agreements for AI datacenters. Support general procurement for non-datacenter needs, including vendor agreements, master service agreements, and NDAs.  Partner closely with engineering, finance and operations teams to align contracts with business needs.  Create processes for efficient and scalable contracting. Be a swiss army knife: pitch in for anything needed in the Legal department, even if it’s unfamiliar or not in your lane Qualifications:  5+ years of legal experience–ideally through a combination of experience at innovative technology companies and/or excellent law firms (startup experience a plus). Experience in commercial contracting, with a focus on procurement in tech or infrastructure sectors. Proven track record of negotiating complex deals for hardware, data infrastructure, or AI-related technologies. Tech-savvy with an understanding or keen interest in datacenters and emerging technologies like AI. Have a strong sense of ownership, be inquisitive and enthusiastic about technology, enjoy being continually challenged, and can demonstrate sound judgment in ambiguous situations. Have a lot of gas in the tank! JD from an accredited law school and active bar membership in at least one U.S. state.  Annual Salary Range $175,000-$225,000 USD xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

true

About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.We’re looking for a strategic and analytical Technical Product Marketing Manager  to join Ada’s growing marketing team. In this role, you’ll be the go-to expert on both our technical value proposition and competitive landscape. You’ll shape how we position our platform for technical buyers and decision-makers, while also driving Ada’s competitive intelligence function to help us maintain our position as the leading AI customer service platform. This is a high-impact role at the intersection of product, sales, and marketing—ideal for someone who can speak the language of developers and decision-makers, while turning competitive signals into actionable go-to-market (GTM) strategies. About you 5+ years of experience in product marketing, competitive intelligence, technical marketing, developer advocate, product evangelist, or sales engineering within a B2B SaaS environment. Strong technical acumen: comfortable interpreting technical documentation, demo products, and extract technical differentiators to identify opportunities for Ada. Demonstrated success in building and scaling competitive intelligence programs and resources that influence enterprise GTM strategies. Strong analytical and research skills with the ability to synthesize complex information into clear, concise insights. Collaborative, curious, and self-driven—able to manage competing priorities in a fast-paced environment. Knowledge of AI and customer service technologies is a strong plus. Outcomes  Go-to-Market & Positioning:  Lead technical positioning and messaging for Ada’s platform emphasizing product differentiators to technical audiences and executive buyers. Translate product features into compelling, customer-centric value propositions.  Demonstrate Product Value: Create compelling demos that highlight product capabilities and use cases for various industry verticals.  Lead competitive intelligence: Develop and manage a robust competitive intelligence program, including tracking industry trends, monitoring competitor activities, and analyzing market dynamics. Deliver quarterly competitive landscape reports with actionable insights. Build & maintain battlecards: Create and continuously update competitive battlecards, positioning guides, and objection-handling resources, ensuring 80%+ adoption rate among sales teams and regular updates every quarter. Strategic insights: Deliver actionable insights and recommendations based on competitive analysis to inform go-to-market strategies, product roadmaps, and executive decision-making.  Cross-functional collaboration: Partner closely with Product, Sales, Enablement, and Marketing teams to embed competitive insights into campaigns, messaging, and product strategies. Thought leadership: Stay ahead of industry trends in AI, automation, and customer experience technologies to position Ada as an innovative leader. Publish 4 (one per quarter) thought leadership reports annually. The expected salary range for this position is $100,000 to $140,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law. #LI-NS1Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

false

Senior Quality Assurance Automation - webAI, Inc.About the Role: As a Senior QA Automation Engineer at webAI, you will lead the design, implementation, and optimization of our automated testing infrastructure. You’ll take a proactive role in improving product quality, setting testing standards, and mentoring others on automation best practices. You’ll work cross-functionally with engineering, DevOps, and product teams to ensure high confidence in every release of our distributed AI platform.This is a highly technical, hands-on role suited for someone who thrives in fast-paced environments, takes ownership of quality initiatives, and enjoys solving complex engineering challenges with a test-first mindset.Key Responsibilities:Design, develop, and maintain scalable automated test suites for UI, API, and system-level testingIntegrate automated tests into CI/CD pipelines and ensure test coverage across new and existing featuresCollaborate with engineering teams to define testing strategies, edge cases, and automation goalsMaintain test infrastructure and monitor execution performance, identifying and resolving issues proactivelyConduct code reviews and promote best practices for automated testing across the teamWrite clear and comprehensive test documentation including test plans, reports, and QA metricsDrive test data management, environment setup, and mocking/stubbing strategies as neededContribute to overall quality initiatives by identifying inefficiencies and proposing automation-based solutionsRequired Skills & Qualifications:Bachelor’s degree in Computer Science, Engineering, or related technical field5+ years of experience in test automation or software QA, with at least 2 years in a senior or lead capacityExpertise in one or more programming/scripting languages (e.g., Python, Go, C++, JavaScript.Deep experience with automation tools like Selenium, Cypress, Playwright, or similar frameworksStrong understanding of CI/CD tooling (e.g., Jenkins, GitHub Actions, CircleCI) and version control systems (e.g., Git)Proficiency in API testing tools and methodologies (e.g., Postman, REST-assured, Swagger)Experience testing cloud-based or distributed systemsExcellent problem-solving skills and a detail-oriented, analytical approach Preferred Qualifications:Experience automating tests for distributed systems, edge computing, or AI/ML workflowsKnowledge of Docker, Kubernetes, or other container/orchestration technologiesExperience with performance, load, or security testingFamiliarity with GitOps or Infrastructure as Code (IaC) principlesBackground in startup environments or agile product teams We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFree parking, for in-office employeesUnlimited Approved PTOParental, Bereavement LeaveSupplemental Life InsurancewebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

true

Your ImpactAs an AI Tutor, Computer Science Specialist, you will play a vital role in shaping how advanced AI models understand and communicate complex computing concepts. Leveraging your deep knowledge of algorithms, data structures, systems, and software engineering, you’ll evaluate and improve AI-generated content to ensure technical accuracy, conceptual clarity, and educational value. Your work will directly support the training of large language models (LLMs) used in software development, computer science education, and technical research.This is a contract remote position with variable time commitments. The services to be provided by the Contractor under this agreement are supplementary and not integral to the Handshake’s primary business operations. The Contractor’s services are distinct and separate from the core business activities of Handshake.Your RoleUse internal tools to review and refine AI-generated responses related to computer science and software engineering.Assess outputs for technical correctness, programming relevance, and clarity in areas such as algorithms, data structures, operating systems, networking, databases, and software design patterns.Curate high-quality datasets used for training and fine-tuning AI models in computing domains.Identify model blind spots, edge cases, and inconsistent or misleading explanations in computer science topics.Collaborate with cross-functional AI teams to improve content quality and knowledge alignment across technical disciplines.Your ExperiencePhD or MS in Computer Science, Software Engineering, or a closely related technical field.Alternatively, 3+ years of professional experience in software engineering, computer science research, or technical education.Strong understanding of core CS topics, including algorithms, data structures, programming paradigms, and systems fundamentals.Proficiency in at least one major programming language (e.g., Python, Java, C++, Go, Rust, JavaScript).Strong written communication skills, especially for explaining complex technical concepts clearly and concisely.Ability to critically evaluate technical content and provide detailed, constructive feedback.Comfortable working independently and navigating ambiguity in fast-evolving workflows.Bonus ExpertisePublications in peer-reviewed computer science journals or conferences.Teaching, tutoring, or curriculum development experience in computer science.Experience with competitive programming or contributions to open-source projects.Familiarity with LLMs, prompt engineering, or AI-driven educational tools.Background in human-in-the-loop feedback systems or technical annotation pipelines.Additional RequirementsAvailable to work evenings or weekends as needed.Comfortable adapting to rapidly changing workflows and AI tools.Personal device must support Windows 10 or macOS Big Sur 11.0 or later.Reliable smartphone access for secure login and multi-factor authentication.Location & Work Expectations100% RemoteNo visa sponsorship availableNot hiring in Wyoming or Illinois at this timeCompensation Range$55/hr – $100/hr We benchmark our compensation ranges against similar stage companies. Final compensation will be based on factors such as location, relevant experience, and skill alignment.

false

The Chief Engineer at Shield AI is responsible for solving complex technical challenges in deploying advanced autonomy solutions on Unmanned Aircraft Systems (UAS). As the chief authority on system architecture, design, development, risk mitigation, and product quality the Chief Engineer ensures the successful integration of Hivemind Autonomy across a range of aircraft, from small UAS to large autonomous collaborative platforms. This role is part of the Hivemind Solutions organization and leads a team of team of engineers to deliver cutting-edge autonomous capabilities for business-to-business and defense contracts. The ideal candidate has defense industry experience as a Chief Engineer and a proven track record of leading technical teams to develop and deploy autonomous systems.

false

About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking an experienced product marketer who’s passionate about securing AI agents in the enterprise. This is a unique and innovative role—one that helps define what security looks like in the age of agents. It blends the best practices of enterprise B2B security with the emerging challenges of securing non-deterministic AI systems. We’re looking for someone with a deep understanding of the security landscape and a strong interest in applying that expertise to AI. You’ll help educate the market on how to secure AI agents, by developing messaging that resonates, technical best practice guides, and thought leadership content.  You will: Research and analyze the evolving security landscape for AI agents—combining insights from emerging security research, market intelligence, and customer needs—and translate those findings into actionable guidance to inform the product roadmap and marketing launches. Partner with product, sales, and security engineering to define clear messaging and technical best practices for securing AI agents in the enterprise. Help hone and amplify our point of view on AI security—taking a thought leadership stance that challenges conventional thinking and drives new conversations with security and IT leaders. Lead product launches that position Glean as the category leader in Work AI, making security a key category pillar. Use launches to showcase our product innovation and help enterprises understand what it takes to confidently adopt agents at scale, deepening engagement with existing customers and attracting new qualified leads. Expand Glean’s leadership in the security landscape by developing in-house security products and partnering with top players through our open security and governance program. Shape the strategy for balancing what we build ourselves with what we deliver through partners to strengthen and extend our offering. About you:  Bachelor's degree in engineering, computer science, business, or a related field 4+ years of experience in security marketing, technical marketing, product marketing, product management, or solution engineering within the AI, data, security, or search space.  Action-oriented self-starter with a love of making people and companies more effective with AI, an eagerness to learn the ins and outs of how a product works, and a growth mindset driving you to roll up your sleeves to make things happen Passionate about Glean's mission and product and representing our customers’ needs A strong understanding of how LLMs and AI work and a clear mental model of their risk profile to protect enterprises. Skilled at simplifying complex technical concepts and creating clear, compelling technical assets. Comfortable communicating with both technical and non-technical teams, adapting your approach to each audience. Can extract key engineering innovations and shape them into impactful messaging for technical audiences. Location: This is a hybrid position based in either our Palo Alto or SF office. Compensation & Benefits: The standard base salary range for this position is $160,000 - $200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

false

About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleAs a Security Engineer on the Platform team at Norm Ai, you will architect and build the security foundation for our AI-driven compliance platform. You'll work at the intersection of product security, infrastructure protection, and AI safety, building foundational security services that enable both our platform reliability and our engineering teams' velocity. You will define, build, and own the authentication and authorization posture that protects our entire ecosystem: our core multi-tenant platform and our growing number of isolated, single-tenant customer deployments. You'll have significant input into our security architecture and the freedom to propose and implement security improvements across our entire technology stack.Our customers depend on us to deliver a secure, trustworthy, and compliant platform for managing regulatory requirements. Earning and maintaining the trust of the world's largest institutions is paramount to our success.You Will:Design and implement (and improve on) core security services such as secure authentication systems, access control frameworks, and data protection mechanisms for our AI-driven compliance platformBuild secure-by-default libraries and tools that make the secure path the easiest and most attractive choice for developersReview security-critical code and own key security components, including authentication, access control, and data protection systemsContribute meaningfully to the Norm AI codebase, focusing on security enhancements for our DSL execution engine and compliance workflowsCreate comprehensive security monitoring and alerting systems to provide visibility into the health and security posture of our infrastructureAudit the existing codebase for vulnerabilities, particularly in our LLM client and customer data handlingImprove our static analysis and vulnerability management toolingConduct red team exercises and penetration testing to identify security gapsParticipate in and drive mitigation strategies during security-related incident responsesPartner closely with engineering teams to incorporate secure design principles at every stage of developmentMentor other engineers on security best practices and secure development methodologiesSkills & Experience - Core4+ years of experience in product security, application security, offensive security, and/or security-focused software engineeringStrong proficiency in developing secure cloud-native containerized applications in at least one programming language commonly used for backend development, although Python experience is preferredDemonstrated experience writing high-quality software and raising the quality bar of software engineering teamsProven ability to identify software vulnerabilities, demonstrated through CVEs, bug bounty awards, blog posts, or prior work experienceTrack record of building reliable and scalable security systems and controlsProficiency with data storage technologies such as PostgreSQL and Redis from a security perspectiveExperience with observability and security monitoring tools such as Datadog or OpenTelemetryProficiency with at least one of the major cloud providers, preferably both AWS and AzureProficiency with Infrastructure as code tools, preferably TerraformStrong communication and collaboration skills, particularly with engineering teamsSkills & Experience - PlusesExperience in AI/ML infrastructure security and understanding AI safety considerationsBackground working on complex compliance or regulatory security systems (SOC 2, ISO 27001, FINRA, SEC requirements)Prior experience with OpenFGA or other Zanzibar authorization implementations is preferredProven ability to design and ship customer-facing enterprise security features including identity federation (SAML/OIDC), data-at-rest/in-transit encryption, and auditable loggingOpen source security contributions or published security researchWhat Success Looks Like - 30 DaysNorm AI platform onboarding: Rapidly familiarize yourself with Norm AI's existing infrastructure, architecture, and the unique security challenges of our AI-driven compliance solutions.Security assessment: Identify key areas for security improvement in existing foundational services and other aspects of Norm AI's architecture.Monitoring & alerting: Implement essential security improvements to our monitoring and alerting systems to provide visibility into the security health and performance of our infrastructure.What Success Looks Like - 60 DaysSecurity enhancement: Based on security gaps you observe over the first few weeks, design and implement an enhancement to a core platform security service, such as improving authentication mechanisms for our compliance data access or strengthening our platform security.Documentation & best practices: Contribute to internal documentation by creating or significantly improving security documentation for a key platform component in a way that helps both engineers and their AI coding tools better understand secure development practices. Also contribute to external documentation that can be shared with Norm’s clients.What Success Looks Like - 90 DaysPlatform security scalability: Dive deep into the security aspects of our platform code and propose security enhancements that improve its resilience and scalability while maintaining compliance with regulatory requirements.Knowledge sharing: Begin mentoring other engineers on security best practices by leveraging your experience to improve their security awareness, enhance their understanding of secure coding practices, and foster better security-conscious development across the team.Comp and Benefits$235,000 - $270,000 a year plus equity.The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

true

About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.As a Senior Product Marketing Manager at Ada, you’ll play a pivotal role in shaping how our AI-powered customer service solutions are positioned and adopted across enterprise organizations. You’ll drive go-to-market success by developing differentiated messaging, launching new capabilities, and enabling our customer-facing teams. With a strong understanding of the AI technology landscape, CCaaS (Contact Center as a Service), and CX, you’ll help ensure Ada’s offerings are aligned with the evolving needs of modern customer service organizations. About you 7+ years of B2B SaaS product marketing experience within the enterprise segment, ideally in domains such as AI applications, CCaaS, CX, or contact center technology. Proven track record working across cross-functional workstreams including product management, marketing, customer success, and revenue teams. Experience bringing technical or AI-driven products to market and enabling internal teams with clear, compelling messaging and tools. Strong customer-centric, data-driven mindset with exceptional verbal and written communication skills. A compelling storyteller with a strategic, analytical approach and the ability to confidently present at conferences, webinars, and customer meetings. Highly organized with the ability to prioritize multiple concurrent projects, all while maintaining a high bar for quality and execution. Outcomes  Product positioning and messaging: Craft compelling, differentiated messaging and positioning that resonates across verticals and personas. Ground your narratives in market research, competitive analysis, and customer insights, and ensure they are consistently reflected in sales tools, campaigns, and web content. Successful launches: Lead cross-functional go-to-market efforts for product launches, driving launch execution and post-launch adoption metrics. Partner closely with product, sales, brand, and marketing teams to define and deliver campaigns that accelerate product adoption. Resonant storytelling: Ensure every campaign, launch, and GTM initiative reflects a deep understanding of the customer service audience, continuously informed by market research, win/loss analysis, and customer interviews. Sales enablement: Empower sales and CX teams with tailored collateral (eg. battlecards, customer case studies, data sheets, pitch decks, and competitive briefs), equipping them to confidently position Ada’s AI capabilities against traditional and emerging players. Customer advocacy: Cultivate relationships with key customers to source feedback, capture impactful stories, and turn them into compelling proof points and references for marketing and sales efforts. Feedback loops with product: Act as the voice of the market within Ada, ensuring that customer feedback, competitive dynamics, and adoption insights continuously influence Ada’s AI product roadmap. The expected salary range for this position is $125,000 to $155,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law. #LI-NS1Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

false

About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.At Harmattan AI, we design and deploy advanced AI-powered systems for defense. Our work sits at the intersection of cutting-edge technology and national security, fast-moving, high-stakes, and deeply mission-driven.We hire selectively and work with urgency, precision, and a commitment to solving problems that matter. If you're exceptional in your field and driven by building real-world impact, we want to hear from you.Even if no listed role matches your profile, we welcome proactive applications from individuals who thrive in high-responsibility environments and bring deep expertise in areas such as:Aerospace & Robotics – GNC, autonomy, flight software, mission planningEmbedded Systems & Hardware – FPGA, real-time systems, electronicsSoftware & AI – machine learning, perception, signal processingBusiness, Strategy & Operations – program execution, partnerships, international expansionWhat we’re looking forWe value individuals who:Set a high personal bar for quality and technical excellenceTake ownership and move fast under uncertaintyPush boundaries, challenge assumptions, and deliver under pressureAre motivated by complex challenges with meaningful geopolitical stakesWhat to includeA resumeA short message telling us what you’re best at, and how you think you could contribute to our missionWe review all applications thoroughly and will reach out if there’s a potential fit.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.