Find AI Work That Works for You

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact.  Where You Fit   As the Senior Regulatory and Quality Specialist, you will be a key member of PathAI’s Regulatory and Quality (RAQA) Team, ensuring compliance to the company’s Quality Management System and to pre- and post-market regulations that pertain to PathAI’s RUO, IVD, and clinical products. You will be responsible for representing RAQA in company-specific projects for diagnostic and clinical development services and will be involved in process improvement efforts, participate in audits as needed, and may be responsible for maintaining/managing key QMS processes (e.g., document control). You will provide risk and regulatory assessments during design control and change control activities and participate in the development and submission of filings to regulatory agencies in the US, EMA, and other geographies. The ideal candidate brings knowledge in regulatory affairs and quality assurance, preferably in the context of AI-driven diagnostic software, and thrives in a fast-paced, high-growth environment. What You’ll Do Regulatory strategy, submissions, reviews Build and execute global regulatory plans; prepare and coordinate pre-subs, 510(k)s, de novos, PMAs, and ex-US filings; participate in agency interactions.   Shape registration strategy and author the technical file/design dossier content in partnership with Product, ML, Clinical, and Engineering. May review and approve product promotional material and customer notifications to ensure alignment with regulatory status. Quality system   Maintain and improve QMS processes aligned to FDA QSR/21 CFR 820, ISO 13485, ISO 14971, IEC 62304, and related standards; monitor new/updated regulations and flow them into the QMS. Participate as subject matter expert in customer audits, certification body audits and regulatory inspections as needed. Design controls &SaMD lifecycle Guide teams through design inputs/outputs, V&V, risk management, usability, design transfer, and clinical/labeling impacts; review design documentation for compliance throughout the product life cycle.   Cross-functional enablement Serve as the day-to-day RAQA partner to Product/ML/Engineering/Clinical/LabOps, resolving issues that affect project timelines. What You Bring   Experience: 5+ years of progressive experience in regulatory affairs and quality assurance in IVD medical devices, preferably SaMD with AI/ML Demonstrated participation in regulatory submissions for FDA Class II/III devices and some ex-US regulatory experience (e.g., EMA IVDR Class A-C); experience with CDx submissions is a plus Working knowledge of global regulatory standards, including FDA QSR, ISO 13485, IVDR, and ISO 14971. Experience authoring and reviewing QMS documentation (e.g., procedures, protocols, reports) Educational Background: Bachelor’s degree in engineering, physical, or life sciences (advanced degree preferred) Skills & Competencies: Strong organizational skills with the ability to manage multiple projects in a dynamic environment. Ability to manage details effectively while contributing to broader regulatory strategies. Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams. Demonstrated success working within and maintaining FDA/ISO compliant Quality Systems We Want To Hear From You  At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.   PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.      #LI-Remote

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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs)and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.The Machine Learning team empowers enterprise customers and developers on Replicant’s platform to help create delightful conversations that provide fast and effective resolutions to their clients through contact center automation.  We define and build the next generation of bot building paradigms for complex enterprise customer service and contact center automation scenarios. You will be part of a cross-functional group of engineers that are applying the latest research in Generative AI and NLP - including LLMs and other advancements in research into our core product lines.  What you'll doLeading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growthActively engaging in all aspects of development, from ideation and experimentation to implementation and deploymentCollaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goalsWhat you'll bring5+ years of software development experience in ML infra, ML tooling, or products with ML usagePreferred if experienced with the ML ecosystem (e.g. python, pytorch, faiss, elastic search)Excellent communication skills and a vivid imaginationPassion about engineering and team cultureYou love tackling ambiguous technical problems and developing solutions to problems with significant impactYou are an independent thinker and like to own and solve complex problemsYou are interested in exploring the nuance and aesthetic of conversations#LI-RemoteFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. The QA team partners with our Agent PMs and customers to define the future of customer service agent evaluation for both Decagon and the world’s most influential businesses. About the RoleWe are seeking an experienced Quality Assurance (QA) Lead to establish and scale our QA function for AI-powered customer service agents. In the near term, this role will be hands-on—reviewing conversations between our AI agents and real customers, documenting issues, and delivering clear, actionable feedback. Over time, the QA Lead will define best practices, implement scalable processes, and build a sustainable QA framework and team to ensure long-term quality and consistency. In this role, you willReview conversations (voice transcripts and chat interactions) to ensure quality, empathy, and process adherenceMake outbound QA calls to evaluate live agent performance and identify improvement opportunitiesCollaborate with agent product teams to validate findings, test fixes, and recommend improvementsMaintain and refine a backlog of outstanding QA tasks and issuesEstablish, document, and maintain QA best practices, templates, and rubrics for consistent evaluationDefine and track QA performance metrics to measure progress over timeBuild and eventually lead a team to scale QA capacity as the business grows Your background looks something like this This role does not require a technical background, rather an understanding of and passion for customer service, operations, and digital product.Proven QA experienceDemonstrated ability to both execute QA directly and design scalable QA processesStrong attention to detail and a high bar for qualityExcellent written communication skills, with the ability to deliver pointed, actionable feedbackAbility to work independently in a fast-paced, distributed team environmentComfortable working across multiple time zones, with primary availability during US Pacific time business hours Even betterFamiliarity with customer service products, AI agents, or conversational platformsKnowledge of AI conversation quality metrics and evaluation frameworksExperience leading QA for enterprise-grade AI agents, customer service software, or customer support operationsExperience growing and managing a QA team Benefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your best Compensation $120K – $140K + Offers Equity

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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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply 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, PhD, Master’s degree in Mechanical Engineering You have at least 3 years of professional experience in Auto Engineering 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 $12/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.

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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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply 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, PhD, Master’s degree in Mechanical Engineering You have at least 3 years of professional experience in Auto Engineering 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.

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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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply 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, PhD, Master’s degree in Mechanical Engineering You have at least 3 years of professional experience in Auto Engineering 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.

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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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply 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, PhD, Master’s degree in Mechanical Engineering You have at least 3 years of professional experience in Auto Engineering 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.

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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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply 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, PhD, Master’s degree in Mechanical Engineering You have at least 3 years of professional experience in Auto Engineering 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.

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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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply 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, PhD, Master’s degree in Mechanical Engineering You have at least 3 years of professional experience in Auto Engineering 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.

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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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply 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, PhD, Master’s degree in Mechanical Engineering You have at least 3 years of professional experience in Auto Engineering 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.

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This opportunity is exclusively available to graduates of Bath University students & graduates. Applications from students or alumni of other programs will be rejected without consideration.About the CompanyAt 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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. 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 or are currently obtaining a Bachelor's degree 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.

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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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply 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, PhD, Master’s degree in Mechanical Engineering You have at least 3 years of professional experience in Auto Engineering 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.

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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 seek an experienced Enterprise Customer Success Manager to drive strategic renewals, ensure ongoing adoption, and champion the success of our Enterprise customers. In this pivotal role, you will collaborate cross-functionally with Sales, Product, Marketing, and Engineering to advocate for customer needs and contribute to Jasper's mission of revolutionizing how businesses harness AI. You'll own and execute our customer journey, building long-lasting relationships that lead to growth and retention.This fully remote role reports to the Senior Director of Customer Success and is open to candidates located anywhere in the continental US in the EST timezone. What you will do at Jasper Own and manage a focused portfolio of 10-25 enterprise customers, tailoring strategies to drive renewals, identify growth opportunities, and ensure account retention.Develop and execute engagement strategies to help customers leverage Jasper's AI solutions across various industries and business functions.Serve as a trusted advisor, ensuring customers achieve maximum value and broad product adoption.Become a product expert and develop best practices to help customers unlock Jasper's full functionality.Collaborate closely with Sales, Support, Product, and Engineering teams to share customer feedback, resolve escalations, and deliver outstanding customer experiences.Influence Jasper's product roadmap by representing the voice of the customer and sharing actionable insights.What you will bring to Jasper7+ years of experience as a Customer Success Manager in a SaaS environment (preferably Martech), including 3+ years of experience managing enterprise accounts and achieving commercial targets.Proven expertise in managing complex accounts, strategic renewals, and long-term customer success with enterprise-level customers.Exceptional interpersonal skills and a track record of building strong relationships across various levels, including C-suite executives.Experience presenting to large and diverse audiences, with excellent communication and influencing skills.Strong organizational skills with the ability to prioritize accounts and manage time effectively.Demonstrated ability to orchestrate cross-functional resources to ensure customer success.Excitement for a dynamic startup environment and the opportunity to help scale the Customer Success team.Compensation RangeAt 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 OTE range for this role is $145,000 - $165,000. 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.

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI they can rely on.  The Opportunity We’re looking for a strategic, driven, and entrepreneurial leader to build and scale our Global Systems Integrator (GSI) and AI/ML consulting partner ecosystem from the ground up. In this high-impact role, you’ll be responsible for developing deep partnerships with tier-1 consultancies and hyperscalers, driving significant partner-sourced revenue, and positioning Arize as the leading AI observability platform for enterprise customers. You’ll serve as the connective tissue between partners, internal teams, and customers — shaping our partnership strategy, enabling partner success, and accelerating go-to-market execution. While we are a fully remote company, we’re a collaborative team that thrives on in-person connection! You’ll need to be based in the New York City or San Francisco Bay Area to join us for team events and onsite collaboration days. What You’ll Do 🤝Partnership Development & Strategy Build and expand strategic relationships with tier-1 GSIs (Accenture, Deloitte, Infosys, PwC, KPMG, EY, Capgemini, etc.) and emerging AI-focused consultancies Develop and execute GSI partnership strategies aligned with Arize’s go-to-market objectives and AI observability market expansion Negotiate and structure high-impact partnership agreements that drive joint customer success Create scalable frameworks for partner program tiers, performance tracking, and alliance lifecycle management 💰Revenue Generation & Pipeline Management Drive partner-sourced pipeline and revenue growth, targeting 40–60% contribution through partner channels within 24 months Collaborate with Enterprise Sales and Account Management to accelerate new logo acquisition and account expansion Establish forecasting methodologies, deal registration processes, and opportunity tracking systems Lead territory planning, account planning, and pipeline management to achieve partner sales quotas 🎯Partner Enablement & Success Design and deliver comprehensive partner onboarding programs, technical training, and AI observability certifications Develop partner-specific sales enablement materials, competitive positioning guides, and use case content Conduct regular business reviews, partner health assessments, and program optimization initiatives Build joint go-to-market plays, talk tracks, and sales motions to help partners identify and win new business opportunities Create and maintain partner-facing documentation, case studies, and technical integration guides ⚙️Cross-Functional Collaboration & Execution Collaborate with Product Marketing, Marketing, and Customer Success on joint value propositions, co-marketing campaigns, and seamless implementation experiences Partner with Product and Engineering teams to align on partner-specific feature requirements and roadmap priorities Coordinate with Legal and Finance on contracts, commissions, and partnership terms Work cross-functionally with internal stakeholders to ensure a consistent and frictionless partner and customer experience Provide partner and customer feedback to drive continuous improvement across the organization 💡Market Intelligence & Thought Leadership Monitor AI observability market trends, competitive dynamics, and emerging partnership opportunities Represent Arize at industry events, partner summits, and AI conferences to build relationships and elevate brand presence Develop thought leadership content, speak at events, and build Arize’s reputation as the leader in AI observability Research accounts, stakeholders, and competitors to establish executive-level relationships and evangelize the Arize vision Execute co-marketing events and content initiatives to increase visibility, lead generation, and brand awareness What We're Looking For 5+ years experience in strategic partnerships, business development, or consulting sales within enterprise software, AI/ML, or SaaS Proven success managing GSI relationships and driving $10M+ in partner-influenced revenue Knowledge of AI/ML frameworks (LangChain, OpenAI, Anthropic), cloud platforms (AWS, Azure, GCP), and enterprise B2B sales cycles Strong relationship-building, strategic thinking, and executive influencing skills Entrepreneurial mindset with experience in high-growth, fast-paced environments Bonus Points, But Not Required Existing relationships within the AI/ML consulting ecosystem and major GSI organizations Previous experience at high-growth AI/ML companies or developer-focused platforms Background in consulting or professional services with understanding of delivery models Experience with open-source community building and developer relations Technical background or engineering degree preferred but not required The estimated annual salary and variable compensation for this role is between $185,000 - $200,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world. Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c   Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.As a Security Engineer on our Architecture team, you'll be the technical foundation of our security design decisions, creating security architecture patterns and standards that directly protect customer data and enable Lambda to be the safest place to build with AI.Reporting to the Senior Manager of Security and collaborating closely with Product Engineering, Platform Engineering, and embedded Technical Program Managers, you'll drive security architecture improvements across our AI-focused infrastructure. Your work will span security design reviews, threat modeling, architecture patterns, and security requirements that scale with our rapid growth while maintaining the highest security standards.You will work on creating security architecture patterns, conducting threat models and security reviews, establishing security requirements for engineering teams, and developing customer-facing security documentation. You'll have unique access to LLMs hosted on our own infrastructure to pioneer AI-powered security architecture solutions that wouldn't be possible anywhere else.If you thrive on solving complex security design challenges in cutting-edge AI infrastructure and want to build security architectures that scale from hundreds to thousands of systems, we'd love to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.What You’ll DoDrive Security Architecture: Design and document comprehensive security patterns, standards, and implementation guides that engineering teams can adopt to build secure-by-default systems.Lead Security Reviews: Conduct security design reviews and develop threat models for critical systems, identifying risks and providing actionable recommendations.Develop Security Requirements: Create clear security requirements and acceptance criteria that integrate seamlessly into engineering development cycles.Build Security Solutions: Prototype and implement security controls, tools, and automation that demonstrate secure patterns and enable self-service security.Pioneer AI-Powered Architecture: Leverage Lambda's hosted LLMs to build next-generation security capabilities including automated threat modeling, AI-assisted security reviews, and intelligent architecture recommendations that push far beyond traditional approaches.Collaborate Across Engineering: Partner with Product and Platform Engineering teams to integrate security architecture requirements into their designs at optimal moments.Enable Customer Trust: Develop customer-facing security documentation, architecture whitepapers, and technical security content that demonstrates our security maturity.Mentor Security Excellence: Coach engineers across the organization on secure design principles and security architecture patterns, multiplying your impact.Drive Architectural Standards: Establish and maintain security architecture standards that protect critical assets while enabling development velocity.Advocate for Security: Communicate security architecture value to stakeholders, translating technical risks into business impact for informed decision-making.What We Think a Candidate Needs to Demonstrate to SucceedHave 3+ years of security engineering or security architecture experience and 5+ years of total engineering experience, with demonstrated impact protecting enterprise infrastructure.Thrive in high-speed, high-ambiguity startup environments where you are constantly balancing security goals with business needs.Deep technical expertise in security architecture patterns, threat modeling methodologies, and security design principles.Excel at solving problems through design and prototyping in Python, Go, or similar languages.Proven ability to work effectively with cross-functional technical teams both with and without authority (we're all on the same team!).Strong Linux systems experience in both bare metal and cloud environments, understanding infrastructure from kernel to application layer.Demonstrated experience driving security improvements that were enthusiastically adopted by engineering teams.Excellence at translating security architecture decisions into business risk, enabling stakeholders to make informed decisions.Nice to HaveYou've led the security assessment and requirements for major platform components or enterprise systems.Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.Deep experience with cloud security architecture and cloud provider security services (AWS, GCP, Azure).Experience with AI/ML system security, including model security, data pipeline protection, or adversarial threat modeling (yes, we know it’s all brand new), or other high sensitivity workloads.You've developed security architecture patterns that were adopted across multiple engineering teams.Security certifications like CISSP, OSCP, or similar that demonstrate continued learning.Experience with infrastructure-as-code security patterns and secure DevOps practices.Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize security architecture—imagine AI-powered threat modeling, automated security design reviews, and intelligent architecture validation at a scale only possible when you host the AI infrastructure yourself.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.At Tenstorrent, we’re building cutting-edge hardware and software solutions that power AI, HPC, and general-purpose workloads. As a Performance Architect on our Platform Architecture team, you’ll work across ML software stacks, compilers, CPU design, cache coherency protocols, and interconnect fabrics to shape the future of high-performance systems. This role is all about bridging software execution and silicon design—making data-driven decisions that directly influence our SoC performance. This role is remote, based out of The United States. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Passionate about solving complex system-level performance problems. Comfortable working across hardware and software boundaries. Analytical and data-driven, with a talent for turning workloads into architectural insights. Collaborative, thriving in cross-functional teams spanning compilers, CPU, and interconnect. Excited to shape the future of AI/HPC platforms through performance architecture.   What We Need BS/MS/PhD in EE, ECE, CE, or CS Deep understanding of NoC topologies, routing algorithms, QoS, and traffic scheduling. Expertise in cache coherency protocols (AMBA CHI/AXI) and modern memory/IO technologies (DDR, LPDDR, GDDR, PCIe, CCIX, CXL). Proficiency in C/C++ programming, with experience in building efficient performance models. Familiarity with ML/AI traffic patterns or formal verification of cache coherence protocols is a strong plus.   What You Will Learn How real ML/AI traffic patterns influence SoC interconnect and cache design. The art of balancing performance vs. complexity in coherence and memory hierarchies. How performance models feed into CPU and accelerator microarchitecture decisions. Best practices for correlating pre-silicon and post-silicon performance. Cutting-edge approaches to integrating heterogeneous compute systems at scale.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We are seeking an experienced Engineering Manager to lead the Cloud Inference Capacity & Operations team for Vertex. You will lead your team to scale and optimize Claude to serve the massive audiences of developers and enterprise companies using GCP. You and your team will optimize the consumption of accelerators. Our team ensures our LLMs meet rigorous performance, safety and security standards and enhance our core infrastructure for packaging, testing, and deploying inference technology across the globe. Your work will increase the scale at which our services can operate and accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms. Responsibilities: Set technical strategy and oversee development of high scale, reliable infrastructure systems Collaborate across teams across companies to deeply understand infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving Create clarity for the team and stakeholders in an ambiguous and evolving environment Take an inclusive approach to hiring and coaching top technical talent, and support a high performing team Design and run processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice You may be a good fit if you: Have 10+ years of experience in high-scale, high-reliability software development, particularly infrastructure or capacity management Have 3+ years of engineering management experience Have experience recruiting, scaling, and retaining engineering talent in a high growth environment Have experience scaling resources and operations to accommodate rapid growth Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development Excel at building strong relationships with stakeholders at all levels and across companies Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space Have excellent written and verbal communication skills and comfort with a high degree of collaboration with both internal and external engineers and product managers Demonstrated success building a culture of belonging and engineering excellence Are motivated by developing AI responsibly and safely Strong candidates may also have experience with: Machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL Deployment and capacity management automation Security and privacy best practice expertise The expected salary range for this position is:Annual Salary:$320,000—$485,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an early member of our Data Science and Analytics team focusing on our API, you will play a critical role in driving the growth and optimization of Anthropic's API products that power thousands of developers and enterprises building with AI. You'll work at the intersection of product strategy, customer insights, and revenue optimization to help scale our API platform from millions to billions of API calls while maintaining our commitment to safety and reliability. You will partner closely with product, engineering, and go-to-market teams to understand developer and enterprise customer behavior, identify growth opportunities, and drive data-informed decisions that shape our API roadmap. This role offers a unique opportunity to influence how AI is deployed at scale across industries while working with cutting-edge language models and developer tools. Responsibilities: API Product Analytics: Deep dive into API usage patterns, developer adoption funnels, and enterprise customer behavior to provide actionable insights that drive product strategy and feature prioritization Revenue & Retention Analysis: Analyze customer lifecycle metrics, revenue retention patterns, and usage-based billing dynamics to identify opportunities for growth and reduce churn across our API customer base Developer Experience Optimization: Design and analyze experiments to improve API adoption, reduce time-to-value for developers, and enhance the overall developer experience across our platform ecosystem Customer Segmentation & Insights: Build sophisticated models to segment API customers by use case, company size, and behavioral patterns to inform targeted product development and go-to-market strategies Cross-Platform Analysis: Analyze customer behavior across Anthropic's ecosystem (1P API, Bedrock, Vertex AI) to understand platform preferences, switching patterns, and optimization opportunities Experimentation & A/B Testing: Design, execute, and analyze controlled experiments on API features, pricing strategies, and developer onboarding flows to drive measurable improvements in key metrics Predictive Modeling: Develop models to forecast API usage, predict customer growth potential, and identify early signals of expansion or churn risk Enterprise Customer Intelligence: Partner with sales and customer success teams to analyze enterprise customer usage patterns, measure feature adoption, and provide insights that inform account strategy You may be a good fit if you: Have 6+ years of experience in data science or analytics roles, with significant experience in API products, developer tools, or B2B SaaS platforms Have 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy Possess deep expertise in Python, SQL, and statistical analysis, with experience analyzing usage-based billing models and API consumption patterns Have experience with enterprise customer analytics, including customer lifecycle modeling, retention analysis, and revenue optimization Understand developer ecosystems and have worked with API metrics such as adoption rates, integration patterns, rate limiting impacts, and developer onboarding funnels Have a track record of designing and analyzing A/B tests and controlled experiments in technical product environments Excel at translating complex API usage data into clear, actionable insights for both technical and business stakeholders Demonstrate a bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress Have experience working with high-volume, real-time data systems and understanding the technical constraints that inform product decisions Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Background in analyzing multi-platform ecosystems (cloud providers, marketplaces, etc.) and understanding platform dynamics Experience with usage-based pricing models, API rate limiting strategies, and developer monetization Knowledge of enterprise sales cycles and experience supporting B2B sales teams with data insights Familiarity with cloud platforms (AWS Bedrock, Google Vertex AI) and their impact on customer behavior Experience building and maintaining data infrastructure for high-scale API products Background in customer research methodologies and survey design for developer communities The expected salary range for this position is:Annual Salary:$275,000—$355,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Conductor The rise of generative AI is fundamentally changing how people search for information and discover brands online. Conductor is the only end-to-end, AI-first platform that enables enterprises to create high-performing, valuable content at scale and ensure their brand is found everywhere customers are looking—from Google to generative AI engines like ChatGPT. Recognized by Forrester as a Leader and #1 rated by customers on G2 and TrustRadius, we are committed to building a workplace where our people can grow and make a positive impact. Conductor is a mission-driven company with a commitment to innovation, customer success, and culture. For Conductor, success is improving the lives of everyone in our orbit—our customers, our customers' customers, our employee-owners, and our communities.  About the Role As a Sr. Product Marketing Manager at Conductor, you will be a strategic partner to the business and the driving force behind our product’s success. You’ll own the go-to-market strategy for one of our flagship products, from shaping the narrative to executing flawless launches. You’ll join our high-performing marketing team and partner closely with R&D, Sales, and Customer Success to translate customer needs into compelling messaging and content that drives real business impact. This is a unique opportunity to be at the forefront of an industry’s AI transformation, see your impact across every department, and help define what best-in-class marketing looks like in the age of AI. What Success Looks Like (Your First 90 Days) In your first 30 days (Learn & Connect): You will focus on building foundational knowledge around our market, product, and audiences. You’ll meet with key partners in Product, Sales, and Customer Success, dive deep into our customer feedback and market research, and get hands-on with the Conductor platform to become a power user. In your first 60 days (Analyze & Contribute): You will move from learning to doing. You’ll partner on your first feature release, conduct a fresh competitive analysis for your product area, and draft your first pieces of messaging and sales collateral. You will start identifying gaps and opportunities in our current go-to-market strategy. In your first 90 days (Own & Influence): You will begin to take true ownership. You will be actively developing the go-to-market plan for a major upcoming launch, leading cross-functional planning meetings, and presenting your strategic recommendations to marketing and revenue leadership. You'll start establishing yourself as the go-to expert for your product area. What You'll Do (Responsibilities) End-to-End Go-to-Market: Develop and execute comprehensive go-to-market strategies for your product area, from strategic positioning and messaging to launch execution and sales enablement. Shape the Product Roadmap: Partner with Product and R&D to manage and communicate the external-facing product roadmap, ensuring internal teams and customers are aligned on our future direction. Create Compelling Content & Collateral: Create and repurpose a wide range of high-impact materials—including web copy, datasheets, product demo videos, case studies, and competitive guides—to support the entire customer journey.   Educate and Enable Teams: Create effective sales enablement materials to empower our Sales and Customer Success teams with the knowledge and materials they need to win.   Be the Voice of the Customer: Translate deep customer insights and market data into a compelling narrative and clear value propositions that resonate in the market.   Measure and Analyze Impact: Track, analyze, and report on the impact of product marketing initiatives, using data to inform our strategy and demonstrate business impact to stakeholders.   Drive Strategic Decision Making: Partner with senior leadership in shaping marketing / business strategy and driving high priority initiatives.  What You'll Bring (Qualifications) Minimum 8 years of relevant experience in product marketing, brand strategy, or agency/consulting roles. Experience working in B2B SaaS; experience working on AI products and/or MarTech products preferred.   Track record of executing successful go-to-market strategies end-to-end. Strong strategic acumen; ability to partner with executives on high priority business initiatives.  A proven ability to turn complex concepts into clear, compelling messaging and effective collateral that stands out in the market.   Project management and collaboration skills in a high-paced, cross-functional environment. Excellent hands-on skills, including compelling copywriting, building impactful presentations (e.g., Google Slides, PowerPoint), and experience with project management tools (e.g., Asana, Jira). Basic familiarity with design (e.g., Figma, Canva), product analytics (Heap, Pendo), and data analysis tools (e.g., Looker, Excel) is a plus. Team player - has a deep sense of curiosity and a proactive, collaborative spirit. __________________________________________________ Compensation: Conductor maintains competitive, performance-based compensation programs.  The NYC base salary range for this role is currently $125,000 - $161,000. Placement within that range will be dependent on experience. Conductor offers the following attractive benefits including: 100% covered employee medical plan, a dental & vision plans, 401(k) with employer contribution, an unlimited vacation policy, 10 sick days, short-term disability, long-term disability, generous paid parental leave, employee assistance program, flexible savings accounts, paid holidays, life and accidental death insurance, and a host of perks. Conductor LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Bringing in diverse perspectives and challenging our assumptions is the clear key to growth; it drives innovation, creativity, faster problem-solving, and stronger decision making. All aspects of employment including the decision to hire, promote, train, discipline, or discharge, will be based on merit, competence, performance, and business needs.  Conductor does not discriminate against any employee or applicant on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, or other characteristics protected by state or federal law or local ordinance.  In addition, it is the policy of Conductor to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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People.ai is an AI-powered foundational data platform that helps customers unlock go-to-market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai’s unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. They have a comprehensive list of top Fortune 500 companies that rely on their enterprise-ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace different. We applaud non-traditional career paths. We're inspired by people who have made processes their own. We are seeking an experienced Engineering Manager for our Infrastructure Platform team to lead the design, delivery, and evolution of the company’s cloud Infrastructure platform. In this role, you will oversee a team of SRE-focused engineers responsible for building secure, scalable, and reliable infrastructure that accelerates developer productivity, reduces operational burden, and improves system availability. You will partner closely with engineering, product, and security teams to define the long-term platform roadmap, modernize CI/CD workflows, optimize cloud infrastructure costs, and strengthen compliance and governance. This is a high-impact leadership role requiring both strong technical depth and proven people management skills to drive adoption of platform initiatives across the organization. Responsibilities:Define and execute the long-term infrastructure platform roadmap; align quarterly objectives and sprint planning to ensure predictable delivery.Strengthen platform security and compliance through improved access management, logging, and governance practices.Partner with Finance, Product, and Engineering to forecast and optimize infrastructure costs while preserving reliability and performance.Maintain and modernize CI/CD pipelines, ensuring high reliability and driving adoption of modern deployment workflows (e.g., GitOps, automated rollbacks, declarative configs).Establish scalable, multi-account cloud infrastructure to support secure, reliable, and isolated environments.Build, mentor, and grow a high-performing team of infrastructure/platform engineers.Lead on-call for infrastructure incidents and ensure fast resolution with thorough postmortems. Requirements:8+ years in Infrastructure/Platform/SRE engineering, with at least 3 years in leadership or management.Proven success delivering infrastructure “golden paths” adopted across multiple teams.Strong technical expertise in cloud platforms (AWS preferred), Kubernetes, CI/CD, observability, IAM, and networking.Experience with roadmap planning, cost optimization, and compliance/security frameworks.Ability to collaborate and align with cross-functional stakeholders to drive platform adoption.Strong people leadership: hiring, coaching, and developing engineering talent.Proficiency with monitoring and observability tools (e.g., Datadog, CloudWatch, Grafana, Sumo Logic)Familiarity with Infrastructure as Code (e.g., Terraform, Ansible) and automation best practices.