Hello, We’re Built InWhat We’re Up To Built In is the industry’s first Employer Intelligence Platform that helps companies understand and improve their employer reputation and visibility across search and AI so they can optimize every stage of their talent funnel. Our 1,800+ customers range from breakout startups to Fortune 100 giants. Product Manager, AI Agents Built In is building the industry’s first AI Employer Intelligence Platform — helping companies understand and improve how they attract talent in an AI-driven internet. As AI in Google + ChatGPT increasingly shapes how candidates research companies and jobs, the employer brand is no longer just a careers page or job post. It’s the narrative that appears when someone asks an AI system about your company. We’re building AI agents that help companies understand, monitor, and improve that narrative. We’re hiring a Product Manager to lead this effort. You’ll define and ship a system of outcome-based AI agents that help employers improve visibility, reputation, and candidate engagement across AI-driven discovery surfaces. This is an early product area at Built In. You’ll work closely with leadership, engineering, and design to define the first generation of AI agents on our platform. What You’ll Build You’ll lead the development of AI agents that help employers understand and improve how they appear across AI-driven discovery surfaces. These agents analyze signals across the Built In platform and transform them into actionable improvements that help employers attract the right candidates. Examples of problems these agents solve include: - Improving employer content so it performs better in AI-driven discovery - Monitoring how employer brand signals evolve over time - Recommending actions that improve candidate engagement and visibility You’ll also help design the system that orchestrates multiple agents together to deliver clear outcomes for customers. Customers define the goal. The system coordinates the agents required to achieve it. What You’ll Do - Translate real customer problems into repeatable agent workflows - Design agent experiences that deliver clear, measurable outcomes for employers - Work closely with engineering and data teams to build reliable AI-powered systems - Define how agents access platform data and coordinate actions - Ship quickly, measure impact, and iterate based on real usage - Partner with design to ensure AI functionality is intuitive and trustworthy What We're Looking For - 3–8 years of product management experience building customer-facing products - Experience with prompt engineering. You must be comfortable with writing prompts and editing prompts to get the right outcomes. - Proven experience solving high-value problems for paying customers. - Experience working with engineering on systems that combine data, APIs, and AI models. - Ability to move quickly, experiment, and iterate based on real usage Our base salary range for this role is targeted at $160,000 to $168,000 per year. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's skills, qualifications, experience and work location. The base pay range provided is subject to change and may be modified in the future. All regular, full-time employees are eligible to enroll in Built In's benefit plans, beginning the first of the month after the first day of employment. Benefits information can be located at https://builtin.com/company/built-in/benefits. What We ValueWe’re revolutionizing tech recruitment. So we question everything, because the best answers sit just to the right of a question mark. That’s our heritage as a disruptive company — as a company whose future depends on our capacity to innovate with a sense of drive, purpose and urgency. If you join Built In, you will work from this set of values: - Be Inclusive, Always. We’re committed to a culture where all people are respected, have a say and can be their whole selves. We will uplift and advocate for one another. Always. - Be Unreasonably Passionate. Our passion is borderline obsessive, and we’re ok with that. No one ever built anything great on a “meh.” We work with outsized passion to fulfill our mission. - Be Humble. You don’t have all the answers. Luckily, you don’t have to. Don’t worry about being right. Be humble instead. - Stay Curious. Curiosity is a springboard to the future. It can transform the wisp of an idea into a breakthrough. We ask “what if.” We work with wonder. It’s how we innovate. - Lead with Solutions. Question everything. But offer solutions as you do. Raise issues. But propose a few answers. For every hole you poke, offer a way to patch it up. - Own the Result. We have no time for blame or shame. When you stumble, own it, learn from it + get back to business. - Do More. Do more than your job description. Take initiative. Take charge. No job is beneath you, and no job is too big. Be a leader and do more — do whatever it takes. Be Inclusive, AlwaysResearch shows that women and other marginalized groups tend to apply to roles only when they check every point on a job description. We encourage you to apply if you meet the majority of qualifications and this role is aligned with your career trajectory. Built In is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law. Built In is guided by principles of diversity, equity and inclusion (DEI). We are committed to this work over the long-term, but here’s some of what’s in place today: - We have five thriving ERG groups: Built In For The People, BuiltOut, United We Parent, Women United in Tech and Built In Tribe. - We have a dedicated Director, HR + Inclusion who oversees our DEI roadmap, which provides our annual metrics, goals and initiatives. - We are proud to be led by a woman CEO and founder, and that more than half of our managers and employees identify as women NOTE: BUILT IN NEVER CONTACTS JOB APPLICANTS VIA TEXT, MESSENGER OR OTHER SIMILAR APPLICATIONS. BE AWARE OF PHISHING AND SPOOFING SCAMS, BOTH VIA TEXT AND EMAIL. ONLY RESPOND TO EMAILS FROM BUILTIN.COM

Role Description We are seeking a Pediatric Neurologist to join our expanding team in South Carolina. This role focuses on evaluating and managing pediatric patients with neurological conditions, including traumatic brain injuries, concussions, and related disorders. The ideal candidate is comfortable working in a collaborative environment and interested in innovative, outcomes-driven care. - Conduct comprehensive neurological evaluations for pediatric patients - Diagnose and manage conditions including TBI, concussion, and other neurological disorders - Develop and oversee individualized treatment plans - Collaborate with multidisciplinary providers (NPs, PT/OT/VT, chiropractors, and other specialists) - Review diagnostic testing and reports - Provide telehealth consultations as needed - Maintain accurate and timely medical documentation Qualifications - MD with board certification or board eligibility in Pediatric Neurology - Active South Carolina medical license (or ability to obtain) - Multistate/Compact license strongly preferred - Experience with TBI, concussion, or neurodevelopmental conditions is a plus - Strong clinical judgment and communication skills Company Description SynapseTBI provides specialized diagnostic and treatment services for patients with Traumatic Brain Injury (TBI), Mild Traumatic Brain Injury (mTBI), and Post-Concussion Syndrome. We offer neurological consultations, diagnostic evaluations, individualized treatment planning, neuro-rehabilitation coordination, and multidisciplinary care to support patients throughout their recovery journey.

Role Overview Alchemy is seeking a qualified Early Practitioner with applied, real-world experience in PowerShell 7 Fundamentals to participate in a skills assessment validation engagement. This is a short-term, contract, remote engagement in which the Early Practitioner will complete a practitioner-level skills assessment and a brief post-assessment survey. This role does not involve teaching, instructional design, content creation, or ongoing advisory responsibilities. Engagement Details Engagement Type: Contract / 1099 – Short-term engagement Location: Remote Estimated Item Count: ~180 Estimated Time to Completion: Approximately 2–3 hours Assessment Window: Work must be completed within a defined access window (typically 5 business days once access is granted) Scope of Work Complete a practitioner-level skills assessment used for validation and standard-setting purposes. Complete a short post-assessment survey providing feedback on the assessment experience. This role does not include: • Teaching or facilitation responsibilities • Instructional or curriculum design work • Content authoring or SME review of materials • Ongoing advisory or consulting responsibilities Required Expertise The Early Practitioner should be a current practitioner with applied, real-world experience related to the following knowledge areas and skills: • Install and run PowerShell 7 on Windows, Linux, and macOS • Navigate and use the PowerShell help system effectively • Execute common administrative tasks using PowerShell commands • Leverage PowerShell Providers and PSDrives for file system and registry access • Understand and apply PowerShell language fundamentals including variables, operators, and control flow • Configure and use Remote Management with PowerShell (PSRemoting, SSH) • Manage and monitor PowerShell Background Jobs for asynchronous task execution • Manage computers using PowerShell and CIM (Common Information Model) • Work with data in PowerShell including importing, exporting, and transforming data • Format data output in PowerShell for reports and display • Write and structure PowerShell scripts with functions and parameters • Extend PowerShell with modules, snap-ins, and custom commands • Use PowerShell for Microsoft 365 administration tasks • Use the Microsoft Graph PowerShell SDK for cloud service management • Apply PowerShell Toolmaking fundamentals to build reusable tools • Understand cross-platform PowerShell 7 capabilities for developers Ideal Candidate Profile Active practitioner with hands-on experience in PowerShell 7 Fundamentals or closely related domains. Practical, working knowledge of how the concepts listed above are applied in real professional settings. Does not need to be an academic researcher or industry thought leader — applied experience is what matters. Deliverables Completed skills assessment within the defined access window. Completed post-assessment survey. Compensation This is a flat-fee engagement, paid upon successful completion of the assessment and survey.

The Leidos Cyber Accelerator is redefining how we build, validate, and scale next-generation cyber and artificial intelligence (AI) capabilities. We are seeking an AI/ML Intern to support Cyber AI projects. ​ ​The ideal candidate is passionate about a broad range of projects from research & development to prototype development, culminating in deployment of our products to customers. This role works alongside junior and senior engineers and research scientists with expertise in machine learning, cybersecurity, IT, reverse engineering, and Cyber AI. The successful candidate will have experience in areas like: software engineering, artificial intelligence (AI), cybersecurity, and machine learning (ML). ​ ​Primary Responsibilities ​ - ​Assist in the design, implementation, and evaluation of AI/ML models for various applications. - ​Create AI/ML prototypes for various use cases - ​Enhance and maintain analysis tools, including automation of current processes using AI/ML algorithms - ​Apply existing knowledge and acquire new skills to help solve complex problems, all while gaining experience in the development and delivery of solutions to customers - ​Work within a multidisciplinary team to design and develop solutions - ​Effectively communicate with engineers regarding current tasks and present findings to provide actionable insights ​ ​Basic Qualifications - ​Currently enrolled in a bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, Computer Engineering or STEM-related degree - ​Hands-on Software Development Skills (Python-Preferred) - ​Understanding of machine learning algorithms, tools and platforms (Familiarity with tools like NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, LLM ecosystems (RAG, agentic systems) or similar.) - ​Demonstrate problem solving, teamwork, and communication skills - ​Ability to obtain a DoD security clearance - US Citizenship required. ​ ​Preferred Qualifications ​ - ​Experience developing production solutions leveraging large language models (LLMs). - ​Experience with cloud platforms (AWS, Azure) for deploying machine learning models. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: March 9, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $57,850.00 - $104,575.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.