Jobs - Jobs4Americans

Frontline work keeps the world running. Restaurants, hospitals, schools, nurseries, airlines, stores, emergency services. Together they employ 80% of the global workforce, over 3 billion people, and they're among the hardest businesses anywhere to run. By-the-minute scheduling, HR and payroll make them far more operationally complex than the average office, yet just 1% of venture funding has ever gone to software built for them. Rising costs, wage increases, labor shortages and tighter regulation have made fixing that urgent. Sona is the AI-native workforce management platform for frontline organizations, with agents that match staffing to real demand and take the admin load off managers. That's a $500bn+ market the software industry has mostly walked past. We've raised over $100M from N47, Felicis, Gradient and Northzone, signed more than 100 enterprise customers across the UK and US, and opened offices in London, New York, Austin and Lisbon. More on working at Sona here https://www.sona.ai/careers. About the Role We're hiring a US-based Solutions Consultant to join the commercial team and support Sona's expansion into the American market. Reporting to the Director of Solution Consulting in London, you'll be a go-to technical and solution-led partner for our growing US sales team, working primarily across the Hospitality and Retail sectors. This is a founding role. The US playbook is still being written, and you'll be one of the people writing it. That means shaping how Sona sells in the US, creating demo flows and assets tailored to the market, and partnering closely with Account Executives to turn complex workforce challenges into confident buying decisions. You'll also work alongside Product and Implementation to feed insights back from the US market and ensure seamless customer handovers. To do that well, you'll need deep familiarity with the workforce management or HR tech space, the ability to lead discovery and demos that are consultative rather than feature-led, and the self-sufficiency to operate effectively with half your day running ahead of the UK team. The SC function at Sona has real influence on how we win enterprise deals and on what we build next. Responsibilities - Own the technical and solution-led side of the US sales process, from discovery through to proof-of-concept engagements and RFP responses. - Partner with Account Executives to tailor and lead product demonstrations that connect Sona's capabilities to customer pain points and business outcomes. - Build deep expertise in the Sona platform and become a trusted advisor to US prospects and customers across Hospitality and Retail. - Develop and refine US-specific technical sales assets, including demo environments, competitive positioning, and sector-specific playbooks. - Collaborate with Product, Engineering, and Implementation to relay US market feedback and ensure seamless handovers post-sale. - Contribute to building Sona's US go-to-market capability - shaping processes, sharing insights, and raising the bar for how we sell. Requirements - Experience as a Solutions Consultant, Sales Engineer, or in a technical pre-sales role - we're also open to implementation backgrounds with strong commercial exposure. - A background in scheduling, workforce management, HR tech, payroll, or adjacent products. For this founding role, knowing the space matters - you'll need to be credible in WFM conversations from day one. - You've worked in a startup or scaleup environment with a complex, modern product that changes frequently. You learn fast and thrive on ambiguity. - Strong discovery and storytelling skills - you lead with problems and outcomes, not features, and you can adapt your narrative to different personas and sectors. - You're self-starting and proactive, and capable of building process where none exists, seeking out what you need, and operating independently across timezones. - Bonus: experience with AI-powered products, or a genuine interest in applied AI. - Bonus: you've been in an early-stage solutions role and know what it takes to build the function, not just run it. Benefits - Salary: $170,000 - $200,000 + 25% target bonus - Hybrid: San Francisco, minimum 2 days a week. Travel to London and to customers across North America expected - Share options - 20 days PTO + sick days - 401k contributions, employer match up to 2% - Comprehensive health cover via Aetna - Enhanced parental leave & pay - Annual all expenses paid team retreats - The latest MacBook and equipment budget for your home office - Professional development budget - Unlimited free books

Listed by Sona for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

8 days ago

Analog Design Engineer (custom DRAM circuits)

Normal Computing · Palo Alto, California, United States

Pay

$200k–400k

Setting

Hybrid

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NORMAL COMPUTING | BUILD WITH US Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul. THE ROLE As an Analog Hardware Engineer, you will build the core mixed-signal technology powering our unconventional computing architecture. You will design unique analog circuits, creating library cells as well as macros, to support a unique computational architecture. Working alongside silicon architecture, digital, and layout teams, you will own the end-to-end analog development from clean-sheet circuit design through parasitic extraction and silicon bring-up to unlock unprecedented throughput-per-watt. WHAT YOU WILL OWN - Analog design flow methodology: lead the full analog development cycle including research, exploratory design - Develop or acquire analog IP for use in Normal Silicon - Acquire or help direct analog EDA tool development - Evaluation of memory designs, including SRAM, DRAM, and CIM architectures WHAT MAKES YOU A GREAT FIT - Developed analog IP from spec to GDSII in modern technologies, taped out and brought up. - Worked on memory technologies (i.e. SRAM, DRAM) on core level (bitcell arrays and peripheral circuits) - Designed and characterized custom bitcells in schematic and layout - Fluent in the Cadence flow: Virtuoso, Spectre, Assembler, Extraction, Layout, HSMC, Characterization - Deep understanding of noise and variation and their impacts on silicon performance and reliability BONUS POINTS - Lead, taped out, brought up CIM chips - Experienced and comfortable in a chip measurement environment for debug and characterization - Have used AI and/or scripting languages (i.e. Python, Perl) to automate design flows and data post-processing Equal Employment Opportunity Statement Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Accessibility Accommodations Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com. Privacy Notice By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice https://normalcomputing.com/applicant-privacy-notice.

Listed by Normal Computing for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

8 days ago

AI Tools Engineer, Storage Infrastructure

Crusoe · San Francisco, California, USA

Pay

$140k–160k

Setting

On-site

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Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe is building the AI infrastructure that powers the next generation of intelligence, and we empower our own engineers to operate at the same frontier. The Storage engineering team is the backbone of Crusoe’s AI cloud platform. You’ll have real latitude here. You’ll build AI powered tools that make storage operations and engineering workflows faster and smarter, and you’ll shape how an entire engineering team works by driving adoption of tools like Claude Code, Codex; mentoring engineers one on one, and removing the friction that keeps great tools from getting used. If you love building and using AI tools, and love getting others just as excited about them, please apply. What You'll Be Working On: - Build AI-powered automation for storage operations and workflows that reduces manual engineering toil - Drive adoption of AI coding tools (Claude Code, Codex, and others) across the Storage team — creating use cases, lowering friction, and making the case for new tools the team isn’t using yet - Help engineers use AI to handle test creation, correctness checks, and code review, so developers spend less time on repetitive work - Coach and mentor other engineers on effective use of AI tools, rather than just using them solo - Partner closely with DevX on tooling and platform-level changes (CI, broader infra) — this role drives adoption and use cases within Storage, not ownership of DevX-owned platform systems What You'll Bring to the Team: - 3+ years of professional industry experience building with AI tools, with measurable outcomes - A track record of getting a team to adopt a tool or workflow you introduced - Experience turning a personally built internal tool using AI into something a team relies on - Strong software engineering fundamentals - Genuine enthusiasm for AI coding tools and experience across multiple tools (Claude Code, Codex, etc.) - Bachelor’s degree in Computer Science, Computer Engineering, or related field Bonus Points - Prior exposure to Cloud storage, networking, or infrastructure environments. - Cross functional working experience across DevX, Product Management, Engineering Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $140,000-$160,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Listed by Crusoe for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

8 days ago

Senior Enterprise Automation Engineer

Crusoe · Sunnyvale, California, United States

Pay

$145k–170k

Setting

On-site

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Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We’re seeking a Senior Enterprise AI Automation Engineer to play a key role in executing Crusoe’s 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You’ll operate at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model. What You'll Be Working On: - Designing and implementing agentic AI workflows using a modular, API-first architecture across platforms such as Workato ONE, Anthropic Claude, and Gemini. - Building autonomous agents that orchestrate workflows across enterprise systems (e.g., Salesforce, Coupa, Slack, Google Workspace) - Architecting and integrating a unified data layer that enables AI agents to access and act on data across siloed systems - Developing integrations, APIs, and custom connectors that enable scalable AI orchestration across business platforms - Implementing MCP (Model Context Protocol) connectors and model-agnostic orchestration patterns - Designing deployment pipelines and lifecycle management systems for AI agents in production environments - Embedding security, data privacy, and compliance guardrails into all AI implementations - Creating reusable templates, frameworks, and tooling to support a Citizen Developer Program - Mentoring internal teams through code reviews, training, and technical enablement programs - Evaluating emerging AI technologies and prototyping next-generation capabilities to advance agentic maturity What You'll Bring to the Team: - 5+ years of software engineering experience, including 2+ years in AI/ML or AI application development - Strong proficiency in Python and API development (REST, GraphQL, webhooks) - Hands-on experience with enterprise integration platforms (e.g., Workato, MuleSoft, Zapier) - Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, or similar) - Deep understanding of agentic architectures, RAG patterns, and prompt engineering - Experience designing scalable, distributed systems in cloud environments (AWS, GCP, or Azure) - Strong knowledge of microservices, event-driven architecture, and integration design patterns - Experience with CI/CD, infrastructure as code, and DevOps practices - Understanding of data security, privacy, and compliance considerations (SOC 2, GDPR) Bonus Points - Experience deploying agentic AI systems in production environments - Familiarity with iPaaS platforms (Workato preferred) and enterprise automation ecosystems - Experience with Google Workspace or Microsoft 365 automation and extensibility - Knowledge of Model Context Protocol (MCP) or similar interoperability standards - Experience implementing AI governance frameworks in enterprise settings - Background in infrastructure, energy, or high-performance computing environments - Contributions to open-source AI projects or technical thought leadership Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $145,000-$170,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Listed by Crusoe for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

8 days ago

Staff Software Engineer, Storage

Crusoe · Sunnyvale, California, United States

Pay

$195k–245k

Setting

On-site

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Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: The Cloud Storage team at Crusoe seeks a Staff Software Engineer to lead the development and execution of our storage strategy. This role will be instrumental in driving innovation and performance improvements within our cloud storage infrastructure. You will work extensively with cloud storage primitives, utilizing advanced storage engineering concepts to build and operate high-performance, scalable, and reliable storage solutions. What You'll Be Working On: - Lead engineering efforts on cloud storage features by collaborating with product and engineering to define and execute features on the roadmap. - Write and review code, generate and review design documentation. Participate in qualifications and rollouts of software across the stack journeying from bare metal to user-facing APIs. - Guide the engineering team through architecture decisions, design processes, design reviews, code reviews, and implementation tasks. - Mentor and grow engineers on your team, fostering an environment of teamwork and continuous learning. - Champion and lead initiatives across the engineering organization such as tech talks, open source development, and book clubs. - Benchmark, analyze, and improve scale, performance, and resiliency issues. What You'll Bring to the Team: - Cloud Storage Expertise: Hands-on experience building and operating large scale, complex distributed cloud computing infrastructure products. Preferably, experience building redundant and fault tolerant storage solutions with backups, replication, encryption, and data protection mechanisms. - Software Engineering Fundamentals: Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. - Technical Proficiency: Strong experience with at least one application programming language like Java or Go. Exposure to Infrastructure as Code tooling with any of Ansible, Chef, Puppet, and/or Terraform. Knowledge of Linux Systems Internals and computer architecture. - Communication & Collaboration: Strong communication and collaboration skills. - Safety and Compliance: Must be able to pass a background check. Bonus Points - Storage Technologies: Hands-on experience with storage technologies such as NVMe, SSDs, and distributed storage systems. - Storage Protocols: In-depth understanding in at least one of block storage, object storage, and/or file storage. Familiarity with storage protocols like NFS, SMB, iSCSI, and NVMe-oF. - Open Source Contributions: Demonstrated track record of contributions to the open source community (e.g., Ceph, GlusterFS, OpenEBS). - System Programming: Proven experience in system programming with C, C++, and/or Rust. - Networking: An understanding of physical and software-defined networking concepts. - Education: Advanced degree in Computer Science, Engineering, or a related field. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $195,000-$245,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Listed by Crusoe for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

8 days ago

IT Engineer

Watershed · San Francisco, California, United States

Pay

$132k–147k

Setting

On-site

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ABOUT WATERSHED Watershed https://watershed.com/ is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! THE ROLE As an IT Engineer at Watershed, you’ll own the internal technology and SaaS platforms our teams rely on every day and shape how employees experience IT across our global offices. It’s an exciting time to join: we’ve equipped employees with best-in-class AI tools, and you’ll help define what modern IT looks like when AI is woven into how we work. You’ll support employees directly while designing agent-driven workflows, integrations, and self-service resources that reduce toil and turn repetitive tickets into well-engineered systems that make your colleagues’ lives meaningfully better. As we grow globally, you’ll have real ownership over the systems you build and a direct hand in shaping where IT goes next, partnering closely with teammates in San Francisco and London. We’re looking for someone with deep experience who finds joy in solving problems for people, thrives in a creative, collaborative environment, and has the judgment to balance quick fixes with long-term engineering. If you’re customer-obsessed, hard-working, proactive, inclusive, and optimistic, you’ll fit right in. This position is based in our San Francisco office, where you’ll work four days per week as part of our in-office culture. YOU WILL: - Design and implement scalable IT solutions that enhance employee productivity and security across our global offices - Manage and maintain our core IT systems, including Okta, Kolide, Iru (formerly Kandji), Google Workspace, Notion, and Slack - Develop and optimize our global asset management processes for employee devices throughout their lifecycle - Build and maintain reliable automations and integrations across our IT systems, reducing repetitive work in onboarding, access management, device operations, and support - Own and improve employee onboarding, role change, and offboarding lifecycle processes through reliable provisioning, access controls, automation, and device workflows in partnership with People and Security - Partner with Security, People, Workplace, Engineering, and our external IT support provider to deliver reliable services and a thoughtful employee experience - Serve as an escalation point for elevated hardware, software, and network-related issues, as well as occasional in-person support within the San Francisco office - Maintain a secure, reliable macOS fleet through device provisioning, configuration, patching, endpoint protection, and compliance monitoring - Manage and optimize our conference room technology and A/V systems - Turn recurring issues into lasting improvements through root-cause analysis, clear run books, employee-facing guidance, and self-service tools; maintain IT policies and procedures that support consistent service delivery - Use AI tools to accelerate troubleshooting, scripting, documentation, system architecture design and workflow development - Administer and support our AI platforms, including Claude, ChatGPT, Dust.tt, and Notion AI, managing access, configuration, integrations, and secure adoption across the company YOU MIGHT BE A GOOD FIT IF: - You have 3+ years of increasing experience and responsibility in IT at high-growth technology companies - You have hands-on experience administering Okta, including SSO, provisioning, and lifecycle workflows, and understand least-privilege access - You have hands-on experience using AI to improve your work, can explain where it has helped, and know when to verify its output or use a different approach - You’re comfortable building scripts, using APIs, and workflow automation to solve operational problems, and you test, document, and maintain what you build - You have experience managing and supporting Mac-based environments - You have experience with asset management systems and lifecycle management for employee devices - You're knowledgeable about IT security best practices and compliance requirements - You have excellent problem-solving abilities and a track record of managing multiple priorities in a fast-paced environment - You're an effective communicator with both technical and non-technical stakeholders - You have experience supporting a breadth of modern SaaS applications - You have experience managing vendor relationships and external service providers - You're passionate about creating exceptional user experiences and find fulfillment in helping others succeed NICE TO HAVE: - First-hand experience building custom tools and applications to solve internal business challenges - Experience with zero-trust security frameworks - Knowledge of corporate networking fundamentals and troubleshooting - Familiarity with office setup and infrastructure planning - Direct experience with IT compliance frameworks (SOC 2, ISO) - Industry certifications related to our technology stack (e.g., Okta, Google Workspace, Cisco) Must be willing to work from an office 4 days per week (except for remote roles) Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so. What’s the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

Listed by Watershed for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

8 days ago

Business Analytics Engineer, Customer Insights

Rad AI · United States

Pay

$150k–190k

Setting

Remote

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ABOUT RAD AI At 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 https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html 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 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html 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! ABOUT THE ROLE Rad AI is building out embedded analytics inside our reporting platform — giving radiology groups and health systems self-service visibility into their own reporting data: turnaround times, template usage, AI utilization, auto-launch accuracy, and more. This role sits at the center of that effort: part data engineer, part analyst, part customer-facing partner. You’ll work with customers to understand what they actually need to see, then build the governed data models and dashboards that deliver it correctly, at scale, across customers with very different data volumes, specialties, and reporting patterns. This is not a back-office reporting job. You’ll work with customer stakeholders (radiology administrators, quality leads, IT/informatics teams), with Product and an embedded analytics partner alongside you, translating ambiguous asks ("we want to see if our new templates are actually helping") into rigorous, reusable metrics and explaining them when a customer’s data looks stranger than expected. WHAT YOU'LL DO - Get the data foundation right. Connect the new data platform to the existing warehouse, troubleshoot and fix data quality issues per customer, and help define the data contract that doesn’t exist yet. - Gather and translate requirements with customers and internal partners. Join discovery conversations with radiology group administrators, quality/ops leads, and informatics teams to understand what they’re trying to measure and decide, not just what they initially ask for. - Design and build the semantic layer and dashboards that serve customer requirements: governed metrics, joins, and reusable models that hold up across customers rather than one-off reports per account. - Apply real statistical rigor to healthcare reporting data. Radiology data is messy and high-stakes: small sample sizes at some sites, outliers from edge-case studies, seasonality, case-mix differences across specialties and facility types. You'll need to know when a metric needs a confidence interval, a risk-adjustment, or an exclusion note, not just a number. - Use AI as a core part of your workflow. Direct AI agents to describe, model, and document data relationships, and verify what they produce. - Own data quality end-to-end for customer-facing outputs: catch and explain anomalies before a customer does, document known caveats (sample-size exclusions, data lag, definitional edge cases) directly in the deliverable. - Build durable data products, not one-off answers. Use dbt/Snowflake-style modeling practices so a metric built for one customer's dashboard is reusable for the next, instead of re-derived from scratch each time. - Partner cross-functionally with Product, Engineering, and Customer Success to prioritize which metrics and dashboards actually move the needle for customers versus which are just "nice to have." - Explain data to non-data audiences. You’ll present findings to radiologists, hospital administrators, and executives who are expert clinicians but not data scientists. The ability to make a confidence interval or caveat meaningful to that audience is as important as computing it correctly. WHAT YOU'LL BRING - 2–5 years in an analytics engineering, data science, or business/BI analyst role, ideally with some customer- or stakeholder-facing exposure (not purely internal reporting). Hunger and curiosity matter more to us than years. - Demonstrated AI fluency. Concrete examples from the last six months of how AI tools have meaningfully changed the way you work with data, including how you’ve used them to describe, model, or document datasets and how you check their output. - Strong SQL — comfortable writing and optimizing complex queries, not just filtering existing tables. - Working statistics fluency: confidence intervals, significance testing, sample-size considerations, handling outliers and skewed distributions, and the judgment to know when a metric needs a caveat versus when it's solid. - Experience with a modern governed BI/semantic layer tool (we use Omni; Looker, Sigma, ThoughtSpot, or similar is great) and a SQL/Python notebook or exploration environment (we use Hex; Mode or similar is fine). - Comfortable in dbt/Snowflake-style modeling environments: building something once and having it hold up for the next ten customers. - Direct experience defining or maintaining a semantic layer (entity/metric definitions, joins, governed fields, e.g., LookML, dbt Semantic Layer, or an equivalent governed-BI modeling layer), not just consuming one someone else built. - Comfort with ambiguity. You’re energized, not rattled, by undefined problems, messy data, and no existing playbook. - Demonstrated ability to run discovery with external stakeholders: asking good follow-up questions, pushing back on vague asks, and landing on a defensible metric definition. - Excellent written and verbal communication, able to present data findings to a non-technical, clinical audience without dumbing down the substance. - Healthcare, health IT, or other regulated-industry data experience is a strong plus (HIPAA awareness, understanding why "it depends on the payer/facility/specialty" is often the right answer). - Familiarity with radiology-specific concepts (PACS, HL7/FHIR, turnaround time, RVU, template-driven reporting) is a bonus, not a requirement. We'll teach the domain if the analytical and statistical instincts are there. NICE TO HAVE - Experience building or maintaining a customer-facing (vs. internal-only) analytics product, i.e., you understand that a dashboard a paying customer sees is held to a different bar than an internal Slack chart. - Exposure to multi-tenant data governance (row-level security, per-customer data isolation) in an embedded analytics context. - Prior experience in a company selling into hospitals/health systems, understanding procurement and IT review cycles. 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! To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website to stay up to date! Location Details: For roles listed as San Francisco - Onsite: - This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs. For roles listed as United States - Remote: - This role is open to candidates located anywhere in the United States. For roles listed as San Francisco - Onsite + United States - Remote: - We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States. For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including: - Comprehensive Medical, Dental, Vision & Life insurance - HSA (with employer match), FSA, & DCFSA - 401(k) - 11 Paid Company Holidays - Flexible PTO policy - Annual company-wide offsite - Periodic team offsites - Annual equipment stipend - For roles based outside the US, your recruiter can share more details At 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 http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

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