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mindrift_ai_logo

Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift
-
IN.svg
India
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Machine Learning Engineer
Data Science & Analytics
NLP Engineer
Software Engineering
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mindrift_ai_logo

Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift
0
0
-
0
CA.svg
Canada
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
NLP Engineer
Software Engineering
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mindrift_ai_logo

Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift
USD
0
0
-
55
US.svg
United States
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Machine Learning Engineer
Data Science & Analytics
NLP Engineer
Software Engineering
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mindrift_ai_logo

Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift
-
IN.svg
India
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
NLP Engineer
Software Engineering
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mindrift_ai_logo

Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift
USD
0
0
-
55
US.svg
United States
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Machine Learning Engineer
Data Science & Analytics
NLP Engineer
Software Engineering
Apply
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mindrift_ai_logo

Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift
-
PL.svg
Poland
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Machine Learning Engineer
Data Science & Analytics
NLP Engineer
Software Engineering
Apply
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mindrift_ai_logo

Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift
-
BR.svg
Brazil
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
NLP Engineer
Software Engineering
Data Scientist
Data Science & Analytics
Apply
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clarionhealthai_logo

Founding Product Designer

Clarion
USD
0
120000
-
160000
US.svg
United States
Full-time
Remote
false
About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startupSolving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patientsCutting-edge tech frontier: You'll design both visual and voice experiences for breakthrough AI technology that's transforming healthcare communicationIn-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive cultureWhat you'll be working onOwn our entire design language: Define Clarion's brand identity across all touchpoints—from marketing website to product interfaces to sales materials—ensuring we stand out in healthcareDesign AI voice experiences that feel human: Craft conversation flows, dialogue scripts, and interaction patterns that make our AI agents sound natural, empathetic, and trustworthy to patientsCreate intuitive product interfaces: Build dashboards and tools that make complex AI capabilities feel simple for overwhelmed healthcare teamsBridge the visual and auditory: Design cohesive experiences where what customers see perfectly complements what patients hear during AI conversationsBuild our design system from scratch: Establish visual guidelines, component libraries, and voice interaction patterns that scale as we growShip brand experiences at startup speed: Create everything from pitch decks to product demos to conference materials that make healthcare buyers stop and pay attentionRequirements3+ years of design experience: Portfolio showing both brand and product design work, with ability to create cohesive experiences across mediumsFull-stack designer: Comfortable moving from brand strategy to UI design to copywriting within the same daySystems thinker: Can create scalable design frameworks for both visual and conversational interfacesFigma fluent: Expert-level proficiency in design tools, with ability to create everything from logos to prototypesIn-person collaboration: Excited to work from our NYC office dailyYou are a good fit ifYou believe great design spans all senses—what people see, hear, and feel when interacting with a productYou're fascinated by making AI conversations feel natural and human, not robotic or scriptedYou can write copy that sounds like a compassionate healthcare worker, not a tech companyYou want to own both how Clarion looks and how it sounds to millions of patientsYou're excited to define a brand that stands out in the sea of sterile healthcare techYou measure success by both user delight and business impactInteresting Design ChallengesMake AI feel human: Design voice scripts and interfaces that help patients trust they're getting real help, not talking to a robotSmooth handoffs between AI and staff: Create seamless transitions when a conversation needs to move from AI to a human without confusing or frustrating the patientSimplify complex healthcare workflows: Turn chaotic medical processes into clean, intuitive designs that busy staff can use without trainingShow conversations clearly: Design dashboards that help staff quickly understand what happened in AI-patient calls and spot important issuesGive staff the right amount of control: Build systems that let healthcare teams oversee AI agents without creating extra work or slowing things downConnect what's heard with what's seen: Make sure the AI's voice conversations match perfectly with what staff see on their screensWhat we offerDirect mentorship: Work closely with our founding team and shape both product and brand direction from day oneMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your designs—both visual and voice—will directly improve healthcare access for millionsInterview ProcessWe'll get back to you within 24 hours after each step:First Chat (20 min) [Virtual]: Quick conversation about your design philosophy and experience in complex product spacesPortfolio Review (45 min) [Virtual]: Walk us through 2-3 projects that showcase your design process from research to shipped productDesign Exercise (Take-home): Tackle a real challenge we're facing around AI-patient communication interfacesTeam Day (Half-day) [In-Person]: Visit our NYC office for a collaborative design session, meet the team, and see how we work togetherIf you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.
Product Designer
Creative & Design
Apply
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agi_net_logo

AI Researcher

AGI, inc
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US.svg
United States
Full-time
Remote
false
AI Researcher Job DescriptionAt AGI Inc., we're not just redefining AI-human interaction—we're creating a world where humans and AI amplify each other's potential. Leveraging breakthrough agentic reasoning capabilities, we aim to bring genuinely useful AGI into everyday life. Backed by years of research, AGI Inc. is pioneering the large-scale deployment of intelligent Consumer AI Agents that simplify, streamline, and elevate everyday experiences.Our team comprises elite ex-entrepreneurs, AI researchers, and product experts from Stanford, Berkeley, Nvidia, and DeepMind, supported by top investors in Silicon Valley. Our founder, Div Garg, is a Stanford AI PhD dropout and previously founded MultiOn, a leading AI Agent startup that introduced browser agents to the world, supported by General Catalyst, Forerunner, Samsung, and Amazon.At AGI Inc., we believe in fusing human insight with cutting-edge AI to craft experiences that are as intuitive as they are groundbreaking, paving the way toward everyday AGI. Our agentic products feel like a natural extension of who you are—an ever-present partner for ideas, projects, and solutions.About the RoleAs an AI Researcher at AGI Inc., you'll be at the forefront of developing novel algorithms and techniques for our browser-based intelligent agents. You'll bridge the gap between theoretical AI research and practical product applications, working on challenges that push the boundaries of what browser agents can accomplish. Your research will directly influence our product roadmap and contribute to the scientific community through publications and open-source contributions. This role offers a unique opportunity to work in an environment that values both academic rigor and real-world impact.Key ResponsibilitiesPioneer Novel Research: Lead research initiatives in areas such as reinforcement learning, multi-agent systems, and natural language understanding to enhance our browser agents' capabilities.Translate Research to Products: Work closely with engineering and product teams to implement research findings into products that deliver tangible value to users.Contribute to the Scientific Community: Publish high-quality research papers at top AI conferences (NeurIPS, ICML, ICLR, ACL) and participate in the open-source AI ecosystem.Develop Technical Roadmaps: Help define our technical research strategy, identifying promising areas that align with our product vision.Mentor and Collaborate: Work with and mentor other researchers and engineers, fostering a culture of scientific excellence and innovation.QualificationsEducation: MS or PhD in Computer Science, Machine Learning, AI, or a related technical field from a top university. Exceptional candidates with bachelor's degrees and equivalent research experience will also be considered.Research Experience: Demonstrated research experience in machine learning, NLP, reinforcement learning, or multimodal systems, evidenced by publications, open-source contributions, or impactful projects.Technical Skills: Strong programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow). Familiarity with large language models, web technologies, and browser automation is a plus.Problem-Solving: Exceptional analytical thinking and creativity in approaching complex AI problems with novel solutions.Communication: Ability to explain complex technical concepts clearly and collaborate effectively with cross-functional teams.Startup Mindset: Enthusiasm for fast-paced environments, comfort with ambiguity, and a desire to build products that millions of people will use.Why Join Us?Dual Impact: Contribute to cutting-edge AI research while seeing your work directly impact products used by real people.Resources: Access to substantial compute resources, large datasets, and the latest AI technologies to support your research.Autonomy: Freedom to pursue research directions aligned with our mission, with less bureaucracy than traditional research labs.Equity: Competitive compensation package with significant equity, aligning your success with the company's growth.Community: Work alongside world-class researchers, engineers, and designers who are passionate about advancing the field of AI.How to ApplyWe'd love to see what you've built. Please include your resume, links to your publications or GitHub repositories, and a brief research statement outlining your interests and how they align with our mission.We can't wait to see your contributions to AI—and to welcome you to the AGI Inc. team!
Research Scientist
Product & Operations
Machine Learning Engineer
Data Science & Analytics
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radai_logo

Radiology Clinical Support Specialist (PA/NP/RA/RPA)

Rad AI
USD
0
120000
-
145000
US.svg
United States
Full-time
Remote
true
About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us:We're looking for a Radiology Clinical Support Specialist at a pivotal moment in Rad AI's growth. This role bridges the gap between our clinical team and customers, ensuring radiologists get maximum value from our AI-powered reporting solutions. You'll work directly with our Chief Medical Information Officers (CMIOs) to deliver support to our rapidly growing physician customer base.This is a unique opportunity for a Radiology Physician Assistant (PA) or Nurse Practitioner (NP), Radiologist Assistant (RA), or Radiology Practitioner Assistant (RPA) who wants to impact healthcare technology at scale combining your clinical expertise with cutting-edge AI to improve radiology workflows nationwide.This role reports to our Clinical Operations leadership team with close collaboration with our CMIOs.What You'll Be Doing:Customer Success & TrainingProvide Tier 2 & 3 clinical support for radiologists using Rad AI Reporting, including advanced features like Omnibox, nested pick lists, and template interactionsConduct virtual one-on-one training sessions with radiologists during go-lives and production testingDemonstrate AI features to radiologist groups, helping them understand how to maximize time savingsClinical-Technical BridgeFix and optimize reporting templates when issues ariseTranslate radiologist workflow needs into actionable product feedbackSupport feature request conversations by understanding clinical requirements and feasibilityGo-Live SupportProvide intensive support during customer go-lives, including real-time chat/virtual presenceTroubleshoot workflow issues that sit at the intersection of clinical practice and technologyPartner with customer success teams to ensure smooth implementationsCross-Functional CollaborationWork directly with CMIOs to prioritize customer needs and allocate support resourcesInterface with product and engineering teams to communicate clinical requirements and suggest on upcoming product features based on clinical feedbackCreate and maintain clinical documentation and training materialsWho We're Looking For:Required Qualifications:Active licensure as a Physician Assistant (PA-C), Nurse Practitioner (NP), Registered Radiologist Assistant (RRA/RA-ARRT), or Radiology Practitioner Assistant (RPA/CBRPA) with radiology clinical experience. We also encourage individuals with other advanced practice credentials and a strong radiology background (such as CNS or Certified Radiology Nurse) to apply. 3+ years of clinical experience in radiology departments or imaging centersExperience with radiology reporting workflows and PACSStrong understanding of radiology terminology, procedures, and report structuresExcellent communication skills with ability to train and support physiciansComfort with technology and ability to learn new software quicklyPreferred Qualifications:Experience with voice recognition reporting systems (PowerScribe, Fluency, M*Modal)Previous experience in healthcare technology implementation or supportBackground in clinical training or educationExperience with template creation and optimization in reporting systemsFamiliarity with HL7 interfaces and radiology IT infrastructureKey Attributes:Patient and empathetic approach to customer supportAbility to handle ambiguity and solve complex problems independentlyStrong organizational skills to manage multiple customer relationshipsBias for action with ability to prioritize urgent issuesCollaborative mindset with ability to work across technical and clinical teamsJoin 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-aiFor US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.
Implementation Lead
Software Engineering
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distylai_logo

Delivery Manager – Enterprise AI Technology Programs

Distyl
-
US.svg
United States
Full-time
Remote
false
Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000. In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale. Distyl was founded and is led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating, evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.About the RoleWe are looking for a highly adaptable, results-driven Delivery Manager to lead the execution of a portfolio of large-scale AI programs at a Fortune 100 client. This role is ideal for a seasoned technology leader who thrives in fast-paced, high-growth environments and has a proven track record of managing enterprise programs over $10M in budget.Our culture is built around moving fast, making an impact, and delivering at the highest level. The ideal candidate is someone who embraces intensity and complexity, can pivot quickly, and thrives in a dynamic, ever-evolving landscape.As a Delivery Manager, you will be responsible for ensuring that all customer outcomes are delivered on time, within budget, and with exceptional quality. You will prioritize and align work to KPIs, influence stakeholders, and ensure seamless execution that maximizes impact and throughput.This is not a passive oversight role—we need someone who is hands-on, deeply engaged in technical and business conversations, and enjoys working alongside engineers, architects, and executives alike. If you’re looking for a high-energy, fast-moving environment where you can truly make an impact, this role is for you.What you will doLead High-Impact Delivery: Oversee the successful execution of a portfolio of enterprise-scale projects, ensuring they meet business objectives and drive measurable impact.Operate at Maximum Velocity: Embrace a high-speed, dynamic environment where priorities can shift, requiring quick thinking and adaptability.Drive Stakeholder Alignment: Regularly report on program status to senior executives, technical teams, and business leaders, fostering trust and maintaining alignment.Optimize Program Success: Structure and scale delivery efforts to maximize impact and efficiency, ensuring the program runs at peak performance.Influence Key Customer Decisions: Guide the client in providing the necessary teams, integrations, and resources to make the program a success.Grow and Motivate a Team: Onboard and organize forward-deployed AI engineers and AI strategists to design and build cutting-edge AI solutions.Stay Engaged in Delivery Activities: Run daily project scrums, engage in planning, requirements gathering/refinement, product management, testing, evals, deployment, etc, whatever is needed to drive execution forward.Champion AI-Driven Solutions: Understand how AI and automation can enhance business processes and technology delivery.Write the Playbook: Author best practices for delivering AI programs at scale.Who You AreA Problem-Solver at Speed: You can navigate complexity and ambiguity, quickly identifying solutions and driving action.An Enterprise-Scale Leader: You have 10+ years of experience delivering large-scale technology programs for enterprise clients, including a $10M+ budget program.A Master of Adaptation: You thrive in an intense, fast-moving environment and can pivot when necessary to keep momentum high.A Strong Communicator Across All Levels: You can seamlessly switch between technical deep-dives with engineers and high-level strategic conversations with executives.A Delivery-First Operator: You know how to execute with precision, delivering on time, on budget, and with top-tier quality.AI-Curious and Business-Minded: You have a demonstrated interest in AI-driven solutions and how they can optimize business outcomes.Why Join Us?Shape the Future: Lead AI transformations that will re-define the next century’s most influential companies.Pick and Build the Winners: Work with top enterprises to identify, transform, and scale the winners of the AI Economy.Operate at the Highest Level: Engage directly with CEOs and C-suite executives to drive billion-dollar impact.High-Growth, High-Upside: Be a key player in a hyper-growth startup backed by the best in AI and enterprise, with a tremendous upside.Elite Team, Mission-Driven Culture: Work with top AI talent that emphasizes high-impact, deep-ownership and a shared mission for excellence.What We OfferCompetitive salary and meaningful equity.100% covered medical, dental, and vision for employees and dependents.401(k) with additional perks (commuter benefits, in-office lunch).Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems.Ownership of high-impact projects across top enterprises.A mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence.Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days a week. This role is available in our San Francisco, New York and Seattle location.
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Compliance & Risk Manager

Thoughtful
USD
0
180000
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225000
US.svg
United States
Full-time
Remote
false
Join Our Mission to Revolutionize Healthcare Smarter Technologies is redefining how healthcare organizations leverage automation and AI to improve efficiency, compliance, and patient outcomes. Our advanced AI-powered Revenue Cycle Automation platform enables providers to streamline and enhance their core business operations. We're looking for an exceptional Compliance and Risk Manager to lead our enterprise-wide compliance and risk management programs. As the Compliance and Risk Manager at Smarter Technologies, you will develop, implement, and oversee a comprehensive compliance program that ensures adherence to HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and other relevant regulations and frameworks. This is a senior leadership role responsible for driving risk mitigation strategies, guiding cross-functional teams on compliance best practices, and ensuring we maintain the trust of our customers, partners, and regulators. As our Compliance and Risk Manager, you will lead with visionary insight at the nexus of compliance, risk, and cutting-edge AI in healthcare. You'll craft governance frameworks that harmonize innovation with ethical accountability, mastering challenges like PHI protection in AI-driven environments. By pioneering transparent, bias-free algorithms and robust data privacy practices, you'll surpass regulatory standards while fueling business growth. Proactively shaping our response to emerging AI governance trends, you'll establish Smarter Technologies as a beacon of trust in responsible AI adoption. Your strategic leadership will redefine compliance as a dynamic catalyst, building stakeholder confidence and accelerating innovation in a highly regulated landscape. Key Responsibilities Design and lead a dynamic, company-wide compliance program aligned with HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and emerging AI governance standards, ensuring ethical and innovative PHI management. Conduct comprehensive risk assessments, mitigating compliance, operational, and AI-specific risks like bias, explainability, and PHI re-identification, in line with HIPAA and HHS AI guidelines. Oversee internal and external audits, driving timely remediation and maintaining audit readiness with minimal findings. Develop and harmonize policies, procedures, and controls across business units, embedding AI ethics and de-identification protocols to prevent ePHI exposure in AI-driven processes. Act as the primary liaison with regulators, auditors, and assessors, fostering trust and alignment on compliance priorities. Guide and train teams on compliance best practices, emphasizing AI governance and AMA Principles for Augmented Intelligence. Report compliance status, risks, and metrics to senior leadership and the board, translating complex requirements into strategic insights. Proactively adapt programs to evolving laws, regulations, and industry standards, positioning compliance as a competitive advantage. What Success Looks Like A compliance program exceeding HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and AI governance standards, driving innovation while securing PHI. Unified compliance practices across all business units, enforcing AI ethics and PHI de-identification to ensure trust and efficiency. Audit readiness with zero material findings, delivering immediate remediation in a high-growth startup environment. Cross-functional alignment that embeds compliance in AI-driven solutions, enabling rapid scalability. A culture where compliance accelerates innovation, establishing the startup as a leader in trusted healthcare technology. Minimum Qualifications 10+ years of experience in compliance, risk management, or information security, with a focus on regulated environments Proven experience building and leading compliance programs that align with HIPAA, HITRUST, SOC 2, NIST, and ISO 27001 Strong track record managing internal and external audits Experience collaborating with regulators and third-party auditors Excellent written and verbal communication skills with the ability to translate complex regulations into clear operational requirements Strong leadership and influencing skills, with experience driving change across diverse teams Bachelor's degree in law, business administration, information security, or a related field; advanced degree or relevant certifications (CCEP, CISA, CISM, CISSP) preferred Bonus Points Led compliance in high-growth healthcare or tech startups, securing AI and PHI operations. Built compliance into DevOps, cloud, and AI platforms, delivering secure, scalable systems. Mastered AI governance and healthcare tech regulations Why Smarter Technologies? Competitive compensation Equity participation: Employee Stock Options Health benefits: Comprehensive medical, dental, and vision insurance Time off: Generous leave policies and paid company holidays California Salary Range $180,000—$225,000 USD
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Product Operations Manager

Metropolis
USD
0
140000
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155000
US.svg
United States
Full-time
Remote
false
The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. The Role Metropolis is seeking a Product Operations Manager to lead product releases across our product ecosystem. Your mission is to drive product adoption by planning and executing high-quality product release processes. You’ll work closely with Product Managers and engineers throughout the product lifecycle, learning the inner workings of our current and upcoming products. You will work closely with functional partners, ensuring products meet the needs of our internal teams. Leveraging your understanding of our products and teams, you will develop and execute robust product testing and release plans. To execute successful product releases, you will work closely with operations, sales, and other cross-functional teams. Through this process, you will become an expert on our products and a go-to resource for cross-functional stakeholders interacting with our products every day. Responsibilities Define our release strategy for new products across multiple verticals in Metropolis’ portfolio Develop robust testing and release plans for upcoming product launches and work with Product Managers to ensure they meet the team’s objectives Ensure functional partners are aligned on key objectives for the product Lead our release execution with functional partners, ensuring teams have the required resources & training and are supported throughout the release process and beyond Work with stakeholders to understand and assess the impact of our products, analyzing data, and sourcing & triaging feedback from the field Communicate product updates to the broader organization, systematically driving awareness and adoption across our portfolio Drive continuous improvement in the relationships and communication with operations, sales, customers, and executives   Qualifications 3+ years of experience in investment banking, business consulting, or product  management/business operations at a high-growth technology company Deep technical aptitude and strong interest in technology products Deep analytical experience - ability to use data to inform and support critical  decisions Strategic alignment, able to bring key partners across functions together – fostering  collaboration and facilitating teamwork Highly effective and consistent communicator - ability to clearly, succinctly, and  persuasively present information to an internal and external audience Demonstrated ability to juggle competing priorities – you will be supporting multiple  products simultaneously Expert in core GSuite/MS Suite Products – Excel, PowerPoint Experience in bringing new products to market in a product or operations capacity preferred Experience and comfort with working with executive stakeholders preferred Prior experience working in Product Management or Product Operations preferred When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $140,000.00 - $155,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-WT1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  
Product Manager
Product & Operations
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Engineering Manager

Jasper
USD
0
210000
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250000
US.svg
United States
Full-time
Remote
true
Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The Role We're looking for an experienced Engineering Manager to lead and inspire a high-performing team of software engineers. In this role, you'll be responsible for people management, technical execution, and cross-functional collaboration to deliver impactful features that improve how our users create and manage content with AI.You’ll be joining a fast-paced environment where experimentation is encouraged, ownership is expected, and shipping quality software matters. The ideal candidate is an empathetic leader who can balance execution with coaching, strategic thinking with attention to detail, and team alignment with individual growth.This fully remote role reports to the Chief Technology Officer and is open to candidates located anywhere in the continental US. What you will do at JasperLead a team of engineers working on core areas of Jasper’s platform (e.g., content generation, collaboration tools, data pipelines, or integrations).Foster a high-trust, inclusive, and feedback-driven engineering culture focused on learning, autonomy, and performance.Collaborate with product managers, designers, and other stakeholders to define, prioritize, and deliver on technical and business goals.Ensure reliable delivery by creating healthy team rituals, resolving blockers, and optimizing processes.Support engineers' growth through coaching, mentorship, regular feedback, and clear development plans.Participate in technical design reviews, architectural planning, and roadmap discussions.Contribute to hiring and onboarding as we continue scaling the engineering team.What you will bring to Jasper 7+ years of hands-on software engineering experience (e.g. full-stack, backend, infrastructure) and a deep understanding of modern engineering best practices.2+ years of engineering management experience, ideally in a VC-backed, high-growth SaaS or product-led company.Proven track record of shipping high-quality features with cross-functional teams.Excellent communication skills, both verbal and written.Passion for building generative AI products or developer tools is a strong plus.Experience managing remote teams is preferred.Compensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $210,000 - $250,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.
Software Engineer
Software Engineering
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Product Security Engineer – Multimodal & Generative AI

Luma AI
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US.svg
United States
Full-time
Remote
true
About Luma LabsAt Luma Labs, we’re pioneering the next generation of multimodal generative AI, enabling models to create hyper-realistic videos and images from natural language and other rich input modalities. Our products empower creators, developers, and companies to generate content that was previously impossible instantly and intelligently.As we scale our AI platform and reach millions of users, we are hiring our Product Security Engineer to set the foundation for security across everything we build. This is a critical role that blends hands-on security engineering with strategic leadership ideal for someone who thrives in fast-paced, high-impact environments and wants to shape security from day one.Role OverviewYou will be Luma Labs’ first dedicated security engineering hire. As the Product Security Engineer, you’ll own the security posture of our products, services, and generative systems. You’ll work directly with engineering, ML, infrastructure, and leadership to proactively design and implement secure systems with a strong focus on the unique risks and opportunities in multimodal video and image generation.This is a leadership-track position with both strategic ownership and deep technical execution.What You’ll DoOwn Product & Application Security: Define and drive Luma’s approach to secure product development from design reviews to automated scanning to runtime protections.Secure GenAI Systems: Analyze and secure the full lifecycle of generative models (image, video, multimodal), including data ingestion, model inference, and API surface.Lead Threat Modeling & Reviews: Run deep security reviews on new features, architectures, and model capabilities, with a focus on abuse prevention, data leakage, and content safety.Build Security Infrastructure: Stand up tools and systems for static analysis, dependency scanning, secrets detection, and CI/CD hardening.Define Misuse & Abuse Guardrails: Partner with ML and product teams to mitigate prompt injection, jailbreaks, adversarial inputs, and misuse of generative outputs.Incident Response & Detection: Lead investigations and forensics for product-related security incidents, vulnerabilities, or model abuse cases.Influence Org-wide Security Culture: Establish best practices, run internal training, and serve as a go-to security expert across Luma’s growing technical teams.Build the Function: Help hire and grow a high-caliber security team as the company scales. Requirements:Must-Have:5+ years in security engineering, with deep experience in product/application security.Have successful track of getting product through security certificationsProven ability to operate as a hands-on engineer and technical leader.Strong understanding of generative AI systems or high-complexity ML applications.Proficient in secure development with Python and experience securing cloud-native environments (AWS/GCP, Docker/K8s).Deep experience with threat modeling, secure design, and modern application security tooling (SAST, DAST, IaC scanning, etc.).Ability to balance pragmatism and rigor you can make fast, thoughtful decisions and execute in a fast-moving startup environment.Excellent written and verbal communication skills; comfortable collaborating across research, product, infra, and leadership.Bonus / Nice-to-Have:Hands-on experience with generative models (e.g., diffusion, transformers, vision-language) and related risks (e.g., prompt injection, data leakage).Experience building or leading security teams in an early-stage startup.Exposure to red teaming, adversarial ML, or AI safety frameworks.Public speaking, open-source contributions, or research in security or AI fields.Why This Role is UniqueGreenfield Security: You’ll be defining the security architecture of one of the most advanced generative AI stacks in the world from the ground up.Cross-Disciplinary Impact: Collaborate directly with ML researchers, creative technologists, infra engineers, and designers.Fast Path to Leadership: This is a founding role with direct access to leadership and influence over future hires and security roadmap.Deep Tech with Real Users: Work on cutting-edge video and image generation tools already in production and scaling fast.
MLOps / DevOps Engineer
Data Science & Analytics
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Software Engineering
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Data Science & Analytics
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Forward-Deployed Engineer - Sonar API

Perplexity
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US.svg
United States
Remote
false
Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Introduction At Perplexity AI, the Sonar API powers AI-native search, retrieval, and automation for some of the world’s most innovative companies. Our Support team is the frontline for developer and enterprise success—ensuring that customers can build fast, reliable, and differentiated products on top of Sonar’s capabilities. We don’t just answer tickets—we partner deeply with customers, Product, and Engineering to architect solutions, debug complex integrations, and influence the roadmap based on real-world developer needs. About the Role We’re looking for a Customer Success Engineer to be a hands-on technical partner for our Sonar API customers. This is a deeply technical, customer-facing role—equal parts solution architect, developer advocate, and technical program manager. You’ll work end-to-end with developers, product teams, and executives at our customers’ organizations—from designing their Sonar-powered architecture to optimizing query performance and implementing new features. You’ll also contribute to internal tooling, docs, and demos that make Sonar adoption easier and more impactful. This role is ideal for TPMs, solutions engineers, or software engineers who have moved into customer-facing work but still want to build, prototype, and problem-solve daily. Key Responsibilities Serve as the dedicated technical partner for strategic Sonar API customers, guiding them through architecture design, integration, and optimization. Troubleshoot API performance, grounding quality, and integration challenges—diving directly into code and logs when needed. Prototype example integrations, search workflows, and demos to accelerate adoption and inspire customer innovation. Collaborate with Engineering and Product to resolve high-priority escalations, ensuring minimal downtime and maximum reliability. Capture and synthesize customer feedback to improve Sonar’s API features, SDKs, and developer experience. Maintain deep familiarity with Sonar’s latest capabilities, competitive positioning, and best practices, and use this knowledge to advise customers. What We’re Looking For Must-Haves 5+ years in technical support engineering, software engineering, or solutions engineering, with direct application development experience. Strong API integration skills—able to design and debug REST/JSON payloads, manage auth flows, and optimize latency. Proven track record of diagnosing complex technical issues across distributed systems, APIs, and customer environments. Excellent communicator who can work with both developer teams and non-technical stakeholders. Bachelor’s degree in Computer Science or equivalent hands-on experience. Nice-to-Haves Experience working with search, retrieval-augmented generation (RAG), or AI/ML APIs. Background in developer tools or platform engineering, especially in high-scale or low-latency environments. Strong familiarity with Python or JavaScript for building integrations, SDKs, or prototypes. History of working at startups or small teams where you owned customer projects end-to-end. Why Join Us The Sonar API is quickly becoming a core infrastructure layer for AI-powered search and automation. As a Customer Success Engineer, you’ll help shape how our customers—from startups to Fortune 500s—bring their most ambitious ideas to life. You’ll be joining a fast-moving, high-impact team where your technical skills, creativity, and ability to bridge product and customer needs will directly influence both Sonar’s roadmap and its market success. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.  
Solutions Architect
Software Engineering
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Community Lead

Brisk Teaching
USD
0
120000
-
155000
US.svg
United States
Full-time
Remote
false
THE OPPORTUNITY:We’re looking for a strategic, action-oriented community leader. You’ll define what community means at Brisk and build it into a connected, thriving ecosystem that educators can’t find anywhere else. You’ll own Brisk’s core community spaces and design unique experiences that drive engagement, advocacy, and growth.This role blends vision and execution: you’ll set strategy, create programming, and roll up your sleeves to make it real. You’ll think holistically about how our educators discover us, connect with each other, deepen their skills, and become passionate advocates for Brisk. But you won’t stop there! You’ll design and lead the lifecycle of our entire community, mapping how these spaces connect and grow together, and identifying new, differentiated ways to expand our reach and impact in a crowded edtech space.To succeed, you’ll need both the fast-paced, scrappy instincts of a SAAS AI startup marketer and the deep empathy and understanding of educators to build something that feels authentic, valuable, and irreplaceable. You’ll also bring an on-stage presence, comfortable hosting live and virtual events, leading professional development sessions, recording videos, and bringing energy that draws people in.Strategic Community Leadership at BriskLead the vision, strategy, and growth of Brisk’s educator community. Your work will transform our three community spaces into powerful engines for engagement, loyalty, and word-of-mouth growth.What you’ll own:Define the long-term vision for Brisk’s educator community and bring it to life as a connected, high-value ecosystem.Build a clear lifecycle for how educators discover, join, and move between community spaces, maximizing retention and engagement at every step.Set measurable goals for each space and for the ecosystem as a whole, tracking growth, engagement, and advocacy.Core Community Spaces:Facebook Group: Design and lead a growth strategy that turns our Facebook Group into the go-to daily hub for educators using AI - where discussions are lively, insights are shared freely, and Brisk becomes part of teachers’ everyday routines.AI Professional Courses: Build out our free AI training programs into a flagship Brisk experience - continually evolving the content, format, and delivery to be the most valuable, engaging, and widely recommended PD in education.Club Brisk: Grow and energize our ambassador program into a thriving, self-sustaining network where our top Brisk educators are actively engaging, sharing, and inspiring others to use Brisk.Success in this role means:Brisk’s community spaces are the most engaged, fastest-growing educator hubs in edtech.Teachers actively share Brisk in their networks and bring it into their schools without prompting. Each community space has a clear identity, purpose, and value educators can articulate in one sentence.Brisk champions and ambassadors are driving real adoption in schools and districts.Educator stories, wins, and expertise are shared widely across Brisk’s channels. YOU WILL:Growth & EngagementCreate and execute community growth strategies that scale Brisk’s educator reach.Design programs that turn members into active advocates, with clear pathways from first touch to Brisk champion.Monitor engagement data and feedback, making fast, strategic adjustments to keep momentum high. Programming & DifferentiationBuild unique, stand-out experiences in each community space - activities, challenges, and collaborations exclusive to Brisk.Create cross-community connections so teachers move fluidly between Facebook, PD courses, and Club Brisk.Ensure every space has a clear identity, purpose, and value proposition that educators can articulate instantly. Storytelling & VisibilityIdentify and showcase teacher success stories across posts, videos, and live events.Partner with marketing to integrate educator voices into Brisk’s broader brand presence.Elevate community-generated content into wider campaigns that boost awareness and credibility. Professional Development & EventsBuild and maintain an evolving library of AI teaching resources to support Brisk users at every stage.Lead Brisk’s YouTube strategy for tutorials, feature spotlights, and classroom success stories.Confidently host in-person and virtual events, from community meetups to webinars to PD sessions, you’ll bring energy, warmth, and clarity that engage and inspire.Represent Brisk at major conferences, securing speaking opportunities, hosting community meetups, and amplifying educator-led sessions. YOU HAVE:At least 4 years of community marketing experience.Self-starter with strategic vision - you anticipate needs, identify opportunities, and take action without being asked.Proven experience building and growing educator or professional communities, including from the ground up.Strong balance of long-term strategic thinking with hands-on execution.Skilled at building authentic relationships with educators and inspiring engagement.Data-informed mindset with the ability to set measurable goals and iterate quickly.Creative marketer at heart - comfortable experimenting with new ideas, social trends, and viral moments.Natural, confident communicator who thrives in live settings, on video, and in front of an audience.Experience in a venture-backed startup.Equal Employment Opportunity & DiversityAt Brisk, we believe that diverse perspectives make better teams and stronger products. We are an equal opportunity employer 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 or expression, age, national origin, veteran status, disability, or any other legally protected status.
Growth Marketer
Marketing & Sales
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Applied Research Engineer, Agents

Labelbox
USD
0
250000
-
300000
US.svg
United States
PL.svg
Poland
Full-time
Remote
false
Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As an Applied Research Engineer at Labelbox, you’ll sit at the junction of advanced AI research and real product impact, with a focus on the data that makes modern agents work—browser interactions, SWE/code traces, GUI sessions, and multi-turn workflows. You’ll drive the data landscape required to advance capable, adaptable agents and help shape Labelbox’s strategy for collecting, synthesizing, and evaluating it. You will possess expertise in LLM agents and planning/execution loops, plus creativity in tackling problems across data design, interaction, and measurement. You’ll publish meaningful results, collaborate with customer researchers in frontier AI labs, and turn prototypes into reliable, scalable features. Your Impact Create frameworks and tools to construct, train, benchmark and evaluate autonomous agent capabilities. Design agent-focused data programs using supervised fine-tuning (SFT) and reinforcement learning (RL) methodologies. Develop data pipelines from diverse sources like code repositories, web browsers, and computer systems. Implement and adapt popular open-source agent libraries and benchmarks with proprietary datasets and models. Engage with research teams in frontier AI labs and the wider AI community to understand evolving agent data needs for frontier models and share best practices. Collaborate closely with frontier AI lab customers to understand requirements and guide model development. Publish research findings in academic journals, conferences, and blog posts. What You Bring Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field. At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers. Experience building and training autonomous agents—tool use, structured outputs, multi-step planning—across browsers/GUI, codebases, and databases using SFT and RL. Constructed and evaluated agentic benchmarks (e.g. SWE-bench, WebArena, τ-bench, OSWorld) and reliability/efficiency suites (e.g. WABER).  Adept at interpreting research literature and quickly turning new ideas into prototypes. Deep understanding of frontier models (autoregressive, diffusion), post-training (SFT, RLVR, RLAIF, RLHF, et al.), and their human data requirements. Proficient in Python, data science libraries and deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Strong analytical and problem-solving abilities in ambiguous situations. Excellent communication skills. Track record of publications in top-tier AI/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, etc.). Labelbox Applied Research At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios. We foster an environment of intellectual curiosity, collaboration, and innovation. We encourage our researchers to explore new ideas, engage in open discussions, and contribute to the wider AI community through publications and conference presentations. Our goal is to be at the forefront of human-centric AI development, setting new standards for how AI systems learn from and interact with humans.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$250,000—$300,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
Machine Learning Engineer
Data Science & Analytics
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Software Engineering
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Principal Product Manager

Findem
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US.svg
United States
Full-time
Remote
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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. Our PM team tends to attract scrappy, collaborative, high-ownership, customer-driven innovators. Emojis, jokes, and pet pictures flow freely in our Slack. Why We Need You: We’re looking for a seasoned Principal Product Manager who can lead one of the most important bets for the company. This role will lead this initiative, including setting strategy / KPIs, driving product choices and delivering high impact. You will be comfortable getting hands-on with detailed, nuanced product choices, while also understanding the larger path ahead with your overall strategy. Finally, to land a great outcome, you will need to be an excellent cross-functional collaborator. What You'll Do:Scope: Lead a major product at Findem, including setting long-term strategy, and making the business case for more investmentInsights: Own the company’s thesis for the market segment including the target buyer and customer personas and their most important needsProduct craft: Bring robust, first-principle, out of the box thinking to our problem space, and using quantitative and qualitative data to drive your conclusionsCrafted execution: Work closely with engineering to focus our efforts on the most impactful innovations, owning prioritization, unblocking major issues, and landing product milestonesCommunication: Working cross-functionally with marketing, GMs, support, and other stakeholders to drive alignment to the right goals. Your Working Experience:7+ years as a product manager, ideally with startup experienceExperience doing 0->1 and 1->10 product buildingExperience in with B2B PLG products, B2B SaaS (especially for multi-step workflows)Ability to drive short term execution while building towards (and testing) a long term vision What Makes You a Great Fit:Prior experience with assisting or automating manual workflowsPrior experience in recruiting or HR softwarePrior experience in AI/ML products
Product Manager
Product & Operations
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Founding Sales Engineer

Basis AI
USD
0
100000
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300000
US.svg
United States
Full-time
Remote
false
About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.Why joinWorld class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive listExtremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 monthsBe part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1In person & interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systemsHigh risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begunCompensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too📍 Location: NYC, Flatiron office. In-person team.About the roleWe are going after a massive business opportunity where we currently lead technologically and are becoming the industry standard. We need to press our advantage by building a world class sales organization that can sell multiple products lines to multiple buyers.What You'll DoLead value based demos that show prospects how AI agents will transform their month-end close, reconciliations, audit workflows, and moreBe the finance expert who can answer any question about technical accounting, compliance, or technical integrationOwn security and IT questionnaires and guide prospects through technical due diligence processesDrive technical qualification by identifying the best opportunities and leading structured evaluationsPartner with Account Executives on sales strategy for complex cycles and enterprise dealsEnsure smooth handoffs to post-sales teams through effective knowledge transferStay sharp on accounting practices, industry trends, and competitive landscapeMinimum QualificationsExperience: 3+ years in accounting, finance, investment banking, or Private EquityProcess-oriented: Break down complex problems into clear, repeatable stepsStrong communicator: Explain technical concepts to both executives and accounting teamsFirst principles reasoner: Question assumptions and apply lessons to new solutionsCompany-builder: Excited to build foundations as we rapidly scaleAll-in: Ready for high velocity, high responsibility environmentOffice lover: Prefers in-person collaboration in our NYC officePreferred QualificationsEarly stage startup experienceHands-on experience with accounting software (QuickBooks, Xero, NetSuite, Bill.com, Ramp, etc.)Who You AreStartup mindset: Excited about ambiguity and rapid growthAll-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generouslyIn accordance with New York State regulations, the salary range for this position is $100,000–$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.
Solutions Architect
Software Engineering
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