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Experience Level
Senior
Qualifications
Proven experience in sales engineering or technical pre-sales roles, specifically in data protection or AI security domains. Strong understanding of cloud technologies and architecture. Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a fast-paced environment and adapt to changing priorities.
About the job
Join Veeam Software as a Senior Sales Engineer - Data & AI Security, where you will play a pivotal role in delivering innovative solutions in the field of data protection and AI security. You will collaborate closely with both sales and technical teams to drive customer success and ensure the implementation of our cutting-edge technologies.
About Veeam Software
Veeam Software is a leader in backup solutions that enable customers to manage, protect, and recover their data. With a focus on innovation and customer satisfaction, we provide comprehensive solutions that are designed to meet the evolving needs of today’s digital landscape.
About Gray Swan AIAt Gray Swan AI, we are dedicated to safeguarding organizations from the evolving threats in AI security. Our innovative solutions focus on real-time threat detection, automated validation, and adaptive defenses tailored for AI labs and enterprises. With a compact yet skilled team of approximately 25 individuals, we are well-funded and rapi…
About Gray Swan AIAt Gray Swan AI, we are dedicated to safeguarding organizations from the rapidly evolving threats posed by artificial intelligence. Our innovative solutions focus on real-time threat detection, automated validation, and adaptive defenses specifically designed for AI laboratories and enterprises. With a compact team of around 25 individuals, we are well-funded and experiencing rapid growth.Our impressive client base includes globally recognized organizations, providing our employees with significant responsibilities and meaningful equity from day one. We foster a high-ownership environment where you will tackle challenging problems, accelerate your projects, and contribute to shaping both our products and the company's direction.Many of our team members are motivated by our mission. We are engaged in practical, high-impact work in AI safety, which is a fundamental reason why engineers and researchers choose to join us.Discover more about our approach.The RoleWe are seeking a dynamic Full Stack Software Engineer who is excited about building comprehensive solutions and isn’t afraid to dive into various aspects of development. You will engage with the entire technology stack—from frontend interfaces to backend APIs and database management—transforming ideas into tangible products and enhancing existing systems.While familiarity with all our tools isn’t mandatory, what matters is your robust full-stack experience, agility in learning new technologies, and comfort in taking ownership of your projects without extensive supervision. As we are in the early stages of our growth, this role suits those who thrive in an autonomous, fast-paced environment.What You’ll Do:Design and create web applications using cutting-edge frontend frameworks like Svelte.Build intuitive and user-friendly interfaces that enhance the user experience.Develop and maintain backend APIs employing tools such as FastAPI.Manage and optimize database systems, with a focus on MongoDB.Collaborate closely with our machine learning research team to weave AI functionalities into our offerings.Who You Are:Proficient in TypeScript or JavaScript.Experienced with frontend frameworks like React, Vue, or Svelte.Strong understanding of HTML and CSS.Hands-on experience developing backend APIs.Familiarity with database systems, both SQL and NoSQL, with MongoDB being a plus.
Compensation: $117,300 - $173,060Join Gray Swan AI as a Machine Learning Engineer and contribute to enhancing AI safety solutions. You will engage in impactful research and development, focusing on adversarial testing, model evaluation, and robust inference. Your work will bridge the gap between theoretical research and practical implementation, ensuring AI systems can withstand adversarial challenges.Utilize your expertise in cutting-edge deep learning architectures and distributed systems to tackle complex problems and advance our methodologies for monitoring and analyzing machine learning models in production environments. Collaborate with a dynamic team of professionals dedicated to making a difference in AI security.Be part of a growing company at the forefront of AI safety, where your contributions will shape the future of secure AI systems!
Compensation: $194,650 - $235,790About Gray Swan AIAt Gray Swan AI, we are at the forefront of safeguarding organizations against the evolving security threats posed by artificial intelligence. Our mission is to develop cutting-edge solutions for real-time threat detection, automated validation, and adaptive defenses tailored for AI laboratories and enterprises. With a compact yet dynamic team of around 25 professionals, we are well-funded and experiencing rapid growth.The RoleIn the position of Senior Machine Learning Engineer, you will have a crucial impact on the advancement of AI safety solutions. Your work will intertwine research with practical application, as you delve into the complex challenges surrounding AI security—a domain that remains an open frontier. This role involves applied research and system architecture, focusing on developing innovative approaches to adversarial testing, model evaluation, and robust inference, which are critical for the secure deployment of AI systems.Your deep understanding of state-of-the-art deep learning frameworks, distributed systems, and parallel computing will empower you to address the intricacies associated with resource-demanding models. You will enhance our strategies for managing, monitoring, and analyzing these models, ensuring they adhere to the stringent requirements of production environments.Join Gray Swan AI and utilize your profound technical expertise and leadership qualities to make a substantial difference in the realm of AI safety!What You’ll DoSpearhead the design, development, and deployment of sophisticated machine learning models to boost system performance and scalability.Address intricate challenges associated with resource-heavy models using distributed systems and parallel computing.Enhance methodologies for the control, monitoring, and analysis of machine learning models within production settings.Innovate new strategies for adversarial testing, model evaluation, and robust inference.Convert research concepts into scalable AI systems applicable in real-world adversarial contexts.Mentor junior engineers and foster innovation within the team.Collaborate closely with cross-functional teams to ensure that research findings inform production systems effectively.Who You AreEducationBachelor’s degree in Computer Science or a related field.
About Gray SwanAt Gray Swan, we specialize in safeguarding organizations against emerging AI security threats. Our team of approximately 25 passionate professionals is dedicated to developing cutting-edge, real-time threat detection systems, automated validation protocols, and adaptive defenses tailored for AI laboratories and large enterprises. With significant funding and a trajectory of rapid growth, we are making a tangible impact in the AI safety domain.Our impressive client roster includes globally recognized organizations, meaning that from your very first day, you will take on substantial responsibilities and share in meaningful equity. Here, you will thrive in a high-ownership environment where you will tackle complex challenges, make swift progress, and contribute to shaping both our products and the overall direction of the company.Many of our engineers and researchers are drawn to Gray Swan because our mission is significant. We are engaged in substantial, impactful work in AI safety, and that sense of purpose is a core reason why talented individuals choose to be part of our team.Discover more about our work culture.The RoleAs a Forward Deployed Engineer at Gray Swan, you will be instrumental in designing, constructing, and deploying enterprise-level software solutions directly within our customers’ environments. You will collaborate closely with customer teams to seamlessly integrate Gray Swan’s AI security platform into intricate production systems, transforming ambiguous, high-stakes requirements into dependable, scalable deployments.This position is perfect for engineers who prefer not to engage with the same narrow tasks daily. You will work at the convergence of software engineering, systems integration, and client delivery, collaborating closely with customers, sales, product teams, and core engineering. You will take ownership of results from start to finish and excel in dynamic, client-facing environments where reliability, security, and trust are paramount.What You’ll Do:Collaborate with engineering, security, and platform teams to comprehend system architectures, constraints, and operational realities.Design and implement integrations between Gray Swan’s platform and client systems, APIs, data pipelines, and runtime environments.Convert real-world enterprise requirements into well-defined proofs of concept, deployment strategies, and production architectures.Serve as the primary technical owner for customer deployments, swiftly identifying, scoping, and resolving issues across environments.Develop and enhance backend services, integrations, and tools to facilitate secure deployment in a variety of client environments.
At Gray Swan, we are dedicated to safeguarding organizations from the evolving threats posed by artificial intelligence. Our team of approximately 25 talented professionals is committed to developing cutting-edge solutions for real-time threat detection, automated validation, and adaptive defenses specifically tailored for AI labs and enterprises.As a well-funded and rapidly growing company, we boast a robust client base that includes globally recognized names. This translates into a workplace where every employee is entrusted with significant responsibilities and equity from the outset. You will thrive in a high-ownership environment, tackling complex challenges and playing a pivotal role in shaping both our product offerings and company direction.Many join Gray Swan not just for a job, but for a mission that resonates. Our commitment to impactful work in AI safety drives our engineers and researchers, instilling a profound sense of purpose.The RoleIn your capacity as a Senior Sales Engineer at Gray Swan, you will spearhead technical pre-sales initiatives for our AI security platform. Acting as a trusted technical advisor, you will assist enterprise customers in assessing how to secure, govern, and deploy advanced AI systems effectively in their production environments.You will collaborate closely with Account Executives on complex, high-stakes opportunities, taking ownership of the technical narrative from initial discovery through to closing. This role demands a high level of technical credibility, keen commercial instincts, and the ability to distill complex AI security risks into clear, compelling solutions for both technical and executive audiences.This is a hands-on, client-facing role in dynamic environments where clients are often defining their AI security strategies for the first time.Key Responsibilities:Act as the technical lead on enterprise sales opportunities, collaborating with Account Executives to develop and execute effective deal strategies.Lead technical discovery sessions with customer security, AI, and platform teams to assess architectures, threat models, and operational limitations.Establish technical win strategies that include solution designs, evaluation plans, and success metrics.Serve as a trusted advisor to senior stakeholders throughout the purchasing process.Expertise in AI Security & Solution DevelopmentClearly communicate and demonstrate how the Gray Swan platform identifies vulnerabilities in AI systems and the measures required to mitigate these risks.
At Gray Swan AI, we are at the forefront of safeguarding organizations against emerging threats in artificial intelligence security. Our innovative solutions encompass real-time threat detection, automated validation, and adaptable defenses tailored for AI laboratories and enterprises. With a compact yet dynamic team of around 25 professionals, we are well-funded and experiencing rapid growth.Our strong traction, coupled with a roster of globally recognized clientele, empowers our employees to assume significant responsibilities and gain meaningful equity from day one. We foster a high-ownership culture where you'll tackle challenging problems, act swiftly, and influence both our product and company direction.Many team members are drawn to Gray Swan by the importance of our mission. We are engaged in impactful work within AI safety, and this sense of purpose is a key factor in why engineers and researchers choose to join us.The RoleAs an Enterprise Account Executive at Gray Swan AI, you will be responsible for managing the complete enterprise sales cycle for our highly technical AI safety and security platform. This is not a conventional software sales position. We seek an individual capable of establishing credibility with technical buyers, swiftly understanding complex products, and thriving in a fast-paced startup environment where ownership and initiative are paramount.You will collaborate closely with the founders, engineering, and product teams to convert initial interest into paid pilot programs and long-term deployments. This role combines enterprise selling, technical curiosity, and the agility of a startup, offering substantial autonomy and growth potential.If you are motivated by the prospect of building something significant, working diligently, and closing impactful six-figure deals in a rapidly evolving market, this position may be an excellent match for you.Key Responsibilities:Manage the entire sales process from initial conversation to closure, often beginning with paid pilot programs and scaling to full production deployments.Sell a comprehensive AI safety and security platform, which includes automated adversarial testing/red teaming and runtime defensive solutions for AI systems.Establish credibility with technical and executive stakeholders across AI, security, and engineering departments.Quickly learn and clearly communicate technical concepts, collaborating with internal technical teams to define solutions and address customer inquiries.Engage with buyers in regulated and high-stakes industries such as financial services, healthcare, and insurance.
Full-time|$118.2K/yr - $147.8K/yr|On-site|Pittsburgh, PA
Join us in shaping the future through innovative solutions.Woolpert is a globally recognized leader in architecture, engineering, and geospatial services, celebrated for our blend of design excellence and advanced technology. Our dedicated team is passionate about driving progress and fostering the next generation of industry leaders. As a certified Great Place to Work® , we are committed to innovation and creating boundless opportunities for professional development.Position OverviewWoolpert is seeking a Senior Software Engineer to become a part of our dynamic Atlas Labs team, focusing on our Geospatial sector. This role reports to the Director of Product and AI. Atlas Labs is responsible for advancing technology within Woolpert’s Geospatial sector, encompassing AI model development, research and development, software infrastructure, and user-facing products.Note: We are unable to provide visa sponsorship for this position. Applicants must have existing work authorization in the United States.What You Will Do:Engage in the planning, research, design, architecture, development, and testing of software features for Atlas Labs. Daily coding is essential, primarily in Python, with potential use of C++ or JavaScript.Collaborate within a cross-functional Scrum team alongside experts in AI/ML, Geospatial Data, Software Engineering, and GIS.Work closely with both internal and external users to ensure the accuracy, quality, and availability of Atlas Labs software products.What You Will Bring:Substantial experience with commercial software products.Proficient in writing production-level code in Python, ideally with large datasets.Proven experience or academic background in key areas such as:Geospatial Data ProcessingComputer VisionAI & Machine LearningLiDARRobotics/Self-Driving/AutonomyFamiliarity with relevant technologies including:Linux, Docker, and GitHubAI/ML frameworks (TensorFlow, PyTorch)Cloud platforms (Azure, AWS, Google)Nice to Have:Experience with GIS applications such as ESRI, QGIS.
Join Duolingo as a Senior Platform Engineer, where you'll have the opportunity to shape the future of language learning through innovative technology. In this role, you will work closely with cross-functional teams to design, build, and scale our platform to support millions of users worldwide.
Full-time|$179.2K/yr - $268.8K/yr|On-site|Pittsburgh, PA, Palo Alto, CA, Detroit, MI
Latitude AI (lat.ai) specializes in the development of advanced automated driving technologies, including Level 3 (L3) solutions, for Ford vehicles at scale. Our mission revolves around redefining the driving experience, making it safer, more enjoyable, and less stressful for everyone. Joining the Latitude team means collaborating with top-tier experts in machine learning, robotics, cloud platforms, mapping, sensor technology, and systems engineering, all committed to significantly enhancing the driving experience for millions. As a proud subsidiary of Ford Motor Company, we operate with the agility of a startup while developing cutting-edge automated driving technologies. Our headquarters are located in Pittsburgh, with engineering centers in Dearborn, MI, and Palo Alto, CA.About the Software Factory Team:The Software Factory team is pivotal in creating a seamless developer build experience, essential for developing, testing, and deploying software that aligns with Latitude’s mission. Team members are responsible for the development and maintenance of an end-to-end infrastructure pipeline within a distributed build environment, playing a crucial role in integrating new tools and technologies into a robust, deterministic, and scalable build ecosystem. We utilize and maintain build tooling (Bazel), author build and test tools (Starlark, Python), manage build environments (Docker, containers), and leverage a distributed remote execution and caching system (Buildfarm), while hosting CI/CD resources for developers to test and implement changes (Jenkins).Your Responsibilities: Collaborate with seasoned build engineers boasting decades of experience.Design and implement solutions for the long-term maintenance of software releases.Develop integrations with product teams that enhance the reusability and testability of modular autonomy systems.Measure, inspect, and improve the utilization of the build infrastructure.
Full-time|Remote|Pittsburgh, PA; Open to Remote (US)
About Us At Gather AI, we are on a mission to revolutionize the supply chain industry through innovative technology. Our cutting-edge, vision-powered platform harnesses the power of autonomous drones and existing equipment to capture real-time data, effectively digitizing workflows that have traditionally been manual and prone to errors. This transformation allows warehouses to operate with enhanced intelligence, safety, and efficiency, thus redefining the standards for timely delivery. If you are eager to contribute to groundbreaking technology and have a meaningful impact in a crucial sector, Gather AI is the perfect fit for you. We are at the forefront of the rapidly advancing robotics field, and we invite you to join us as we reshape the global supply chain, one intelligent warehouse at a time. About the Team You will collaborate closely with systems engineers on our MHE Vision platform, engage with the MHEV team for integrated system testing and debugging, and work alongside the ML team to validate model outputs against ground truth data. You will also liaise with Customer Support and Product Management to address field-reported edge cases and quality priorities. About the Role We are seeking a dynamic Test Engineer to join our Pittsburgh team, enhancing the testing and validation framework for our MHE Vision platform. You will engage with real data and systems, analyzing large transaction datasets to derive ground truth, building and maintaining regression test infrastructure, and participating in integrated system tests within our lab environment. This is a high-impact, early-career opportunity that offers significant ownership and visibility. Your analyses will directly enhance product quality for our customers, and you will have the chance to advance into roles focused on test automation, systems engineering, or QA leadership as the company grows. What You’ll Do Manually analyze extensive transaction datasets (100+ records) to extract ground truth, detect anomalies, mismatches, and edge cases, and validate system outputs against expected behavior. Construct and manage regression test infrastructure, incorporating new edge cases identified from field deployments into the existing test suite. Engage in integrated system tests in our Pittsburgh lab alongside systems engineers, executing test procedures and documenting results. Conduct first-level root cause analysis (RCA) on test failures, clearly communicating issues to the respective engineering teams. Develop structured processes for collecting and cataloging field edge cases into repeatable test cases. Contribute to the continuous improvement of testing methodologies and practices.
Join Veeam Software as a Senior Sales Engineer - Data & AI Security, where you will play a pivotal role in delivering innovative solutions in the field of data protection and AI security. You will collaborate closely with both sales and technical teams to drive customer success and ensure the implementation of our cutting-edge technologies.
Full-time|On-site|Pittsburgh, Pennsylvania, United States
Join our dynamic team as a Senior Electrical Engineer based in Pittsburgh, PA, where you will spearhead the design and enhancement of electrical systems that drive our vital infrastructure, including pipelines, compressor stations, and storage facilities. Utilizing your extensive technical knowledge, you will integrate cutting-edge technologies such as automation, real-time monitoring, and energy storage solutions to optimize performance and reduce operational costs.Your role will be pivotal in ensuring safety by implementing effective measures like arc flash mitigation and fault detection systems, adhering to the highest regulatory and environmental standards. You will oversee complex engineering projects from concept through to execution, ensuring alignment with business objectives and timelines. This high-impact position will leverage your leadership and problem-solving abilities, directly contributing to our operational reliability, safety, and strategic growth.With our Core Values guiding your work, you will face challenges that offer opportunities for rapid learning and professional growth.
Gather AI develops a vision-based platform that uses autonomous drones and existing warehouse systems to gather real-time data. By automating manual processes, the company helps warehouses operate more safely and efficiently, supporting accurate and timely deliveries across the supply chain. Role overview The Implementation Engineer leads the rollout of Gather AI’s drone technology at customer sites in the supply chain sector. This is a Pittsburgh-based position with a strong focus on hands-on deployment and customer interaction. Main responsibilities Plan and carry out onsite visits to automate inventory management for clients using drones. Handle deployment preparation, including mapping warehouses, calibrating drones, and running tests. Document procedures and train clients on how to use the system effectively. Provide ongoing customer support, manage support tickets, and troubleshoot technical issues as they arise. Collaborate with the Development team to deliver smooth and efficient drone deployments. Coordinate implementation tasks directly or through contractors to ensure client requirements are met. Serve as the main point of contact for clients, ensuring satisfaction with Gather AI’s technology and support.
Full-time|On-site|Pittsburgh, PA, Palo Alto, CA, Detroit, MI
Role Overview Latitude is looking for a Senior Software Engineer focused on Test Infrastructure. This role centers on strengthening testing frameworks to help deliver reliable software. The position is available in Pittsburgh, PA, Palo Alto, CA, or Detroit, MI. What You Will Do Work closely with teams across engineering, product, and QA to support development efforts. Design, build, and maintain test infrastructure that supports software quality. Help improve and extend frameworks used for automated and manual testing.
Full-time|Hybrid|Pittsburgh, Pennsylvania, United States
Role Overview Jacobian is looking for a Senior Backend Software Engineer to help build and evolve our AI-powered radiology reporting platform. This role shapes the backbone of our cloud-native backend services and APIs, which support our product teams and set the bar for security, observability, and scalability. What You Will Do Design and implement backend systems and APIs for a cloud-native environment Work closely with product teams to deliver secure and reliable features Set standards for system security, monitoring, and scalability Contribute to both new platform projects and the migration from legacy systems to modern cloud architectures What You Bring Strong background in backend software engineering Experience with data architecture and cloud operations Understanding of security best practices for backend services Ability to work on both greenfield initiatives and legacy system transitions Location and Work Arrangement This is a hybrid role based in Pittsburgh, PA. The position requires 2–3 days per week onsite at our Pittsburgh office.
Full-time|$179.2K/yr - $268.8K/yr|On-site|Pittsburgh, PA, Palo Alto, CA
Latitude AI (lat.ai) is at the forefront of developing cutting-edge automated driving technologies, including Level 3 systems for Ford vehicles. Our mission is to transform the driving experience, making travel safer, less stressful, and more enjoyable for all.As part of the Latitude team, you will collaborate with leading experts in machine learning, robotics, cloud platforms, mapping, sensors, and safety engineering. Together, we are dedicated to making a significant, positive impact on the driving experience for millions.Operating as a subsidiary of Ford Motor Company, Latitude maintains the agility of a tech startup while developing automated driving technologies. Our headquarters is in Pittsburgh, with additional engineering centers in Dearborn, Michigan, and Palo Alto, California.Join Our Team:The Performance Prediction team is responsible for creating machine learning models, evaluation pipelines, and internal tools that enable us to monitor how autonomous behavior evolves with each software release. We tackle challenges in behavior classification, ride quality assessment, probabilistic trajectory forecasting, and regression analysis for releases.Our systems integrate both classical and modern ML approaches, employing compact classifiers like tree-based models for behavior and ride quality detection, as well as deep learning models for complex autonomy tasks. We also develop the software infrastructure around these models, including dataset definition, feature generation, training workflows, offline metrics, experiment tracking, and tools for regression inspection at detailed levels.This position is ideal for those who thrive on developing reliable Python systems and implementing rigorous ML evaluation methods in safety-critical environments. The work involves a blend of ML systems development, model evaluation, and internal tooling used by various teams across the autonomy spectrum.
Full-time|On-site|Pittsburgh, PA, Palo Alto, CA, Detroit, MI
Join us at latitude as a Senior Software Engineer - Motion Planning where you will be at the forefront of developing advanced motion planning algorithms. This role is crucial in enhancing our autonomous systems and requires a blend of creativity and technical expertise. You will collaborate with a talented team to innovate and create solutions that shape the future of mobility.
Full-time|$149K/yr - $198.5K/yr|On-site|Pittsburgh, Pennsylvania, United States
Mission Overview: Join us as a Senior Software Engineer, where you will be integral in crafting and deploying automated workflows, advanced tooling, and insightful analytics to enhance our autonomy stack's scalability. You will be essential in transforming vast datasets into actionable engineering insights, ensuring our software releases are robust, validated, and road-ready. Your Responsibilities: Create Intelligent Tooling: Design and implement advanced automation to analyze and clarify complex system behaviors, utilizing sophisticated data modeling to expedite solutions. Lead Analytics Development: Spearhead the creation of impactful performance visualization tools that convert raw metrics into clear, actionable insights regarding on-road performance. Enhance Release Engineering: Use your expertise to refine our release processes, moving towards a highly automated deployment framework that preserves quality while boosting efficiency. Advance Simulation Capabilities: Elevate our virtual testing environments, ensuring our simulation suites deliver high-fidelity feedback for comprehensive release understanding. Collaborate Across Teams: Engage within a large, multi-disciplinary codebase to guarantee seamless integration across planning, motion, and controls teams. Qualifications We're Seeking: Significant experience in developing production-grade applications, tools, and pipelines using Python. Proficient in navigating and contributing to large, complex codebases with an emphasis on modularity and documentation. Demonstrated success in delivering software in a production environment, with knowledge of CI/CD, version control at scale, and stringent release cycles. A keen curiosity for data and the ability to derive meaningful patterns from complex, high-dimensional datasets. A strong passion for a driverless future and an understanding of the critical nature of deploying software that interacts with the physical world. Bonus Skills (not mandatory): Experience with C++ in a Linux environment. Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration. Background in robotics middleware (ROS, DDS) or autonomous systems.
Join our dynamic team at latitude as a Senior Software Engineer specializing in Machine Learning Platforms. We are looking for a highly skilled and passionate engineer who is eager to innovate and contribute to cutting-edge projects that drive our machine learning initiatives. In this role, you will collaborate with cross-functional teams to develop robust and scalable ML solutions that impact our business and enhance user experiences.As a Senior Software Engineer, you will leverage your expertise in software development and machine learning algorithms to build, optimize, and maintain ML models. You will also play a crucial role in mentoring junior engineers and fostering a culture of continuous learning and improvement within the team.