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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.

Engineering

10 days ago

Staff Software Engineer, Speech

Rad AI · United States

Pay

$187k–265k

Setting

Remote

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

Engineering

16 days ago

Senior IT Engineer

Cherry · United States

Pay

$90k–165k

Setting

Remote

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Senior IT Engineer Engineering · Remote (U.S.) · Full-Time ABOUT CHERRY Founded in 2019, Cherry is a fast-growing FinTech offering the simplest, fastest, and most inclusive BNPL solution for medical practices—including dental, medical aesthetics, and veterinary etc. We help practices treat more patients by making care financially accessible. Cherry is led by Stanford entrepreneurs with a previous successful exit and backed by top investors, including Kleiner Perkins and DCM. ABOUT THE ROLE Cherry is looking for a Senior IT Engineer to own and evolve the internal systems, tools, and infrastructure that keep every team at Cherry moving fast and securely. You'll be the technical backbone of our internal IT function — designing how we provision and secure devices and accounts, automating the manual work of onboarding and offboarding, and building the identity, endpoint foundations a fintech company needs to earn customer trust. WHAT YOU'LL DO - Own Cherry's internal IT stack end-to-end: identity and SSO (Okta), Google Workspace, device management (MDM), and the core SaaS tools every team relies on. - Design and automate employee onboarding and offboarding. Provisioning, deprovisioning, and access changes across all internal systems. - Own endpoint management and the device lifecycle end-to-end. Procurement, provisioning/imaging, inventory tracking, repair/replacement, and secure retirement for a fully remote workforce. - Be the first responder for all IT issues across the company — triaging, troubleshooting, and resolving day-today hardware, software, account, and access problems as they come in. - Partner with Security to support SOC 2 and other audit requirements, including access reviews and least-privilege enforcement. - Reduce manual IT work through automation and scripting. - Serve as the escalation point for complex IT issues and act as a hands-on resource for the whole company. - Own our ITSM practice: manage the ticketing system, define workflows for incidents/requests/changes, and track SLAs to keep support fast and predictable as the team grows. - Document systems, runbooks, and processes so IT knowledge scales with the team. WHAT WE'RE LOOKING FOR - 5+ years of experience in IT engineering, systems administration, or a similar internal-IT role, ideally at a startup or in a regulated industry. - Hands-on experience administering Okta (or similar IdP), Google Workspace, Microsoft 365, and MDM tools . - Experience with ITSM platforms and designing incident, request, and change management workflows. - Comfort writing scripts or light automation to eliminate repetitive work. - Working knowledge of networking fundamentals, endpoint management/device lifecycle tools, and access control best practices. - Experience supporting SOC 2, PCI-DSS, or similar compliance audits from the IT side. - Strong communication skills and the judgment to operate independently as a senior or sole IT resource. - A security-first mindset balanced with genuine empathy for end users. NICE-TO-HAVES - Experience in fintech, healthcare, or another regulated environment. - Familiarity with Zero Trust networking tools. - Basic working knowledge of AWS or GCP for internal tooling and infrastructure. - Experience standing up IT processes from scratch at an early-stage company. Benefits (for U.S.- based full-time employees) - Competitive Base + Bonus - Generous equity grant - Medical, vision, and dental benefits - Fully remote company - Flexible PTO Cherry provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.

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

Engineering

19 days ago

Senior Telecommunications Engineer

Fervo Energy · Houston 910 Louisiana St Suite 4400 Houston TX 77002 USA

Pay

$110k–200k

Setting

Remote

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Fervo is working to build the most cost-effective, repeatable geothermal power plants in the world. Achieving this mission requires secure, resilient, and highly available infrastructure that can scale from early-stage development to full commercial operations. Joining Fervo means operating at the intersection of energy infrastructure and modern enterprise systems—where reliability, safety, and disciplined execution are foundational. Build and own Fervo’s physical network infrastructure program—from outside-plant fiber to building cabling—supporting geothermal operations, enterprise connectivity, and fiber optic sensing.The Senior Telecommunications Engineer owns physical network planning, design, records, and acceptance: outside plant (OSP) fiber, inside plant (ISP) fiber and structured copper cabling, pathways, telecommunications rooms, racks, cabinets, and passive connectivity. Fervo’s sole dedicated specialist builds the records program and is the single accountable owner of the enterprise fiber record across IT, operational technology and instrumentation and controls (OT/I&C), and sensing. No fiber is planned, built, spliced, or repurposed without its record being updated. This senior individual contributor leads physical-layer design and contractor oversight and resolves field issues. Network engineers own layers 2–7, including switching, routing, segmentation, and configuration; system owners define device functionality. The role reports to the IT Infrastructure Manager and is based in Salt Lake City, UT, or Houston, TX. Travel averages 30%, with significant field presence during construction.

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

Engineering

22 days ago

Sr. Channel Sales Engineer

Witness AI · United States

Pay

$260k–295k

Setting

Remote

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JOB TITLE: SR. CHANNEL SALES ENGINEER Location: Remote Reports to: VP Global Sales Engineering ABOUT WITNESSAI: WitnessAI is the unified AI security and governance platform enterprises trust to govern and protect all AI activity. We provide complete, network-level visibility into every interaction including employees and autonomous agents, even in native apps where legacy tools are blind. Unlike security that relies on outdated keywords, our platform understands intent, enabling intelligent policies that stop novel threats like prompt injection while empowering productivity. WitnessAI transforms security from a bottleneck into the enabler of your AI strategy as the confidence layer for enterprise AI. THE ROLE As a Sr. Channel Sales Engineer, you are the technical lead for our partner ecosystem. You make resellers, distributors, MSSPs, and system integrators good at selling and deploying WitnessAI, and you join their deals when it counts. This is a hands-on role. You will set the standard for how partners run demos and proofs of concept, and bring partner feedback back to Product and Sales. You work day to day with the Channel team, Sales Engineering, Product, and Marketing. WHAT YOU'LL DO - Enable partner technical teams. Train partner sales engineers and architects on the WitnessAI platform, the AI security market, and how to position us against legacy tools. Run onboarding, certification, and refresher sessions. - Support partner-led deals. Join partner calls and customer meetings to run demos, answer technical questions, and scope requirements. Step in on strategic deals, then coach partners to run the next one on their own. - Run proofs of concept. Define POC plans and success criteria with partners and customers. Guide the deployment, troubleshoot issues, and drive each POC to a clear decision. - Build partner technical assets. Create reference architectures, demo environments, deployment guides, battlecards, and talk tracks that partners can use without us in the room. - Partner on pipeline. Work with Channel Sales and Marketing on joint campaigns, workshops, and events. Help partners identify AI security use cases inside their existing customer base. - Answer security reviews and RFPs. Handle technical questionnaires, architecture reviews, and RFP responses that come through partners. - Bring back what you hear. Share partner and customer feedback with Product and Engineering. Flag integration gaps, competitive losses, and feature requests with specifics. - Represent WitnessAI. Present at partner events, conferences, and customer briefings. WHAT WE'RE LOOKING FOR - 7+ years in pre-sales, sales engineering, or technical consulting, with at least 3 years supporting channel or partner sales. - A working understanding of network security, cloud infrastructure, identity, and data security. Familiarity with AI/ML or generative AI use cases is a strong plus. - A record of enabling partners to sell and deploy technical products, and of helping close six- and seven-figure deals through the channel. - Hands-on experience running demos and POCs end to end, including deployment and troubleshooting. - Experience working with resellers, distributors, MSSPs, or global system integrators. - Clear communication. You can explain a complex architecture to an engineer in the morning and a CISO in the afternoon. - Willingness to travel for partner and customer meetings and events. NICE TO HAVE - Background at a cybersecurity vendor, especially in SASE, secure web gateway, CASB, DLP, or zero trust. - Experience building a partner enablement or certification program from scratch. - Existing relationships with security-focused VARs, MSSPs, or distributors. - Experience with partner portals and deal registration tools, plus CRM tools such as Salesforce. - Security or cloud certifications such as CISSP, AWS, Azure, or GCP. - Prior startup experience, where you built process because none existed. WHY JOIN US - Build the technical foundation of our channel program in a new and fast-growing category. - Sell a product that solves one of the biggest problems in enterprise AI adoption. - Work directly with Sales, Product, and Engineering. Your feedback shapes the roadmap. - Competitive compensation and meaningful equity. - Backing from top investors and advisors in AI, cybersecurity, and enterprise software. BENEFITS: - Competitive salary and equity - Health, dental, and vision insurance - 401(k) plan - Opportunities for professional development and growth - Generous vacation policy SALARY RANGE: $260,000 - $295,000 OTE (The exact salary will be determined based on the selected candidate's location, qualifications, experience, and relevant skills.)

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

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