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Lambda.jpg

Customer Success Manager

Lambda AI
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US.svg
United States
Full-time
Remote
true
In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity. 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. What You’ll DoGuide customers through the order process, serving as main customer advocate and POC throughout procurement, assembly, and handoff while being proactive about communicating any delays. Maintain detailed and continuous communication with customers, to ensure customer satisfaction, measured in CSAT and NPS surveys.  Partner across internal teams and external customer stakeholders, to understand customer needs, deliver on objectives and maximize retention and growth within customer accounts.Work cross functionally to ensure any post order issues are resolved in a timely manner.YouYou have strong written and verbal skills, you have the ability to de-escalate any situation and speak transparently to our highest tier of customers. You are process oriented and have a strong desire to work collaboratively to not only maintain a process but seek to improve upon it. You have at least 4 years prior experience working in Customer Success or equivalent department. You are an active team player, self-starter, and multitasker who can quickly adjust priorities.You are proficient with G-Suite, Salesforce, and SlackNice to HaveTechnical knowledge in manufacturing, Cloud, IT, Server, AI, ML or related fields. Knowledge of Monday, Front and VitallySalary Range Information Based on market data and other factors, the hourly range for this position is $55.00-79.00 per hour. 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, ~350 employees (2024) 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 dependentsCommuter/Work from home 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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Software Engineer, QA Automation

Appier
0
0
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0
TW.svg
Taiwan
Full-time
Remote
false
About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the role Appier is seeking Software Engineers, Quality Assurance to ensure continuous delivery of high-quality system. You will collaborate with engineers to design comprehensive testing plans for a variety of systems, including high-traffic distributed systems, machine learning algorithms, big data platforms, and frontend systems. You will excel in defining effective test strategies and developing automation solutions tailored to different system architectures. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]    Responsibilities Collaborate with product teams to review feature requirements and specifications, designing robust test plans, strategies, and executing tests with clear, actionable reports. Work closely with developers to enhance testability, develop testing utilities, and provide QA-driven test cases ahead of feature readiness. Ensure the highest quality and performance standards for Appier products through rigorous testing. Accurately report and validate product bugs, driving continuous improvement. Develop scalable and reliable automated tests and test frameworks for products built on micro-service architectures. Oversee and monitor the release process, executing necessary tests to ensure feature delivery meets quality benchmarks.   About you [Minimum qualifications] Solid understanding of software development methodologies (Agile, Waterfall). Better in software testing processes, including test planning, test case development, and troubleshooting. Proficient communication skills and a collaborative mindset, with a willingness to share knowledge within the team. Minimum 2 years of hands-on experience with at least one test automation tool  (e.g., Python, Java, Robot Framework, Pytest, Cypress, Selenium, JMeter or Locust). Experience with AI-assisted development tools such as GitHub Copilot, Cursor, and Windsurf to enhance coding efficiency, streamline debugging, and facilitate code refactoring. Familiarity with these tools is essential to our workflow. Experience integrating and utilizing CI/CD tools. Quick learner with good troubleshooting abilities and keep attention to detail. [Preferred qualifications] Experience in one of cloud service platforms. (e.g., AWS, GCP, Azure, Kubernetes) Excellent skills in data integrity tests or data quality. Experience in performance tests for SaaS products (e.g., Load test, Spike test, Stability test) Experience in system monitoring tools or system health dashboard (e.g., Grafana, Kibana, Prometheus) Experience in building automation testing for the architecture of micro-services Experience / Knowledge in the test for Big data, Machine Learning, Data analysis. Fluent English communication skills, both verbal and written.
Software Engineer
Software Engineering
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Research Scientist / Research Engineer, Pre-training

Anthropic
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GB.svg
United Kingdom
Full-time
Remote
false
Research Scientist
Product & Operations
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Somite AI.jpg

Senior / Principal Machine Learning Engineer - Biological Foundational Models

Somite AI
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US.svg
United States
Full-time
Remote
false
Somite.ai is a venture-backed company transforming stem cell biology with AI.  We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million.  Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies. Our platform, DeltaStem, accelerates therapy creation and continually improves through data-driven insights.Founded by Dr. Micha Breakstone, a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.Location: BostonClick the following links to learn more about Somite:https://x.com/SomiteAi/status/1922284999891472808https://www.forbes.com/sites/gilpress/2025/05/13/somite-ai-raises-47m-series-a-to-reinvent-cell-replacement-therapy/Click the following link to Apply: https://jobs.ashbyhq.com/somite-ai?utm_source=0pRNP5YXRZAbout the Role:As a Machine Learning Engineer - Biological Foundational Models, you will play a key role in developing foundational models for single-cell RNA sequencing data. Working closely with other machine learning researchers and computational biologists, you’ll design cutting-edge AI solutions, contribute to pioneering research, and help build the core infrastructure driving Somite’s cell-replacement therapy platform. This role is ideal for someone passionate about applying machine learning to solve complex biological challenges.Responsibilities:●       Drive the development of machine learning models for biological data, from research and prototyping to production deployment●       Design, train, and optimize foundational models for single-cell RNA sequencing and other high-dimensional omics data●       Build scalable, distributed pipelines for training and inference across trillion-token biological datasets●       Collaborate closely with computational biologists to ensure models produce biologically meaningful, interpretable outputs, engaging deeply with biological questions and research●       Design and implement novel deep learning architectures, including transformer-based models tailored to biological dataQualifications:●       7+ years of experience in machine learning, deep learning, and large-scale data analysis, preferably in biological applications.●       Master’s degree or higher in Computer Science, Artificial Intelligence, Computational Biology, or a related field.●       Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.●       Proven experience building and optimizing large-scale models, including transformer-based architectures.●       Demonstrated track record of independent research and end-to-end model development, from prototyping to production.●       Passion for AI-driven biology and its potential to transform healthcare.Preferred Qualifications:●       Strongly preferred: extensive background in biological research and biological modeling, ideally with single-cell RNA sequencing data●       Strongly preferred: 3+ years of professional software engineering experience in an industry setting.●       Experience with reinforcement learning techniques such as RLHF, PPO.●       Experience in startups or fast-paced environments, with a self-directed, proactive work style.Click the following link to Apply: https://jobs.ashbyhq.com/somite-ai?utm_source=0pRNP5YXRZBenefits:●       Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions.●       Work alongside a talented and passionate team at the forefront of AI and cellular biology.●       Contribute to the development of groundbreaking therapies that address significant unmet medical needs.●       Enjoy a competitive salary and benefits package, including flexible work options.Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.Join us and help unlock the full potential of AI for the benefit of human health!
Machine Learning Engineer
Data Science & Analytics
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Full-Stack Engineer

Casca
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US.svg
United States
Full-time
Remote
false
Software Engineer
Software Engineering
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Hippocratic AI.jpg

Agent Architect

Hippocratic AI
0
0
-
0
US.svg
United States
Full-time
Remote
false
About Us:Hippocratic AI is building safety-focused large language model (LLM) for the healthcare industry. Our team comprised of ex-researchers from Microsoft, Meta, Nvidia, Apple, Stanford, John Hopkins and HuggingFace are reinventing the next generation of foundation model training and alignment to create AI-powered conversational agents for real time patient-AI interactions.About the Role:We are looking for an Agent Architect to design, develop, and innovate the next generation of agentic systems that drive our healthcare-focused AI platform. This individual will serve as a central architect in shaping how our agents think, act, and interact across diverse clinical use cases.You will be responsible for selecting the right agentic paradigms—ranging from tool use, retrieval-augmented generation (RAG), and prompt engineering, to model training—and defining the underlying architecture for intelligent, safe, and responsive agents. You will work closely with our research, engineering, and evaluation teams to integrate cutting-edge techniques and continuously push the boundaries of agent capabilities.This role blends deep technical knowledge with strategic thinking and experimentation. It’s ideal for those who thrive at the intersection of LLM system design, product innovation, and applied AI research.Responsibilities:Architect and design new AI agents across a variety of clinical and operational use casesEvaluate and select the optimal agentic paradigm for each scenario (e.g., tools, engines, prompting, RAG, model training)Choose the appropriate models from our internal model library for specific tasksCollaborate with the research team to fine-tune models and optimize agent behaviorDefine and iterate on evaluation protocols in partnership with the evaluation teamDevelop new agent patterns and workflows to enable novel capabilities and interactionsRapidly incorporate state-of-the-art techniques from the latest scientific literature and open-source developmentsTrack and integrate capabilities from emerging foundational models to improve system performance and scopeRequired Qualifications:5+ years in a technical field such as software engineering, machine learning, data science, or AI product developmentDeep understanding of agentic system design and language model behaviorsProficiency with Python and modern ML toolingExperience building and evaluating non-deterministic AI/ML systemsStrong analytical and problem-solving skills, with an experimental mindsetFamiliarity with LLM paradigms such as prompting, RAG, fine-tuning, and tool usePreferred Skills:Experience designing agentic workflows or orchestration frameworks for LLMsBackground in AI research or exposure to cutting-edge developments in NLPAbility to translate complex technical ideas into scalable architecturesInterest in healthcare applications, patient interaction design, and safety-critical systemsExcellent written and verbal communication skills, with the ability to clearly document design decisions and evaluationsCandidate Background:We recognize that agent architecture is a novel and rapidly evolving field. Ideal candidates may come from varied backgrounds such as applied ML engineering, AI product design, prompt engineering, or even NLP-focused research roles. If you are excited about designing intelligent systems from the ground up and want to shape how LLMs interact with the world in a safe and impactful way, we encourage you to apply.Why Join Our Team:Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.
DevOps Engineer
Data Science & Analytics
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Hippocratic AI.jpg

Senior Agent Engineer

Hippocratic AI
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US.svg
United States
Full-time
Remote
false
About Us:Hippocratic AI is building safety-focused large language model (LLM) for the healthcare industry. Our team comprised of ex-researchers from Microsoft, Meta, Nvidia, Apple, Stanford, John Hopkins and HuggingFace are reinventing the next generation of foundation model training and alignment to create AI-powered conversational agents for real time patient-AI interactions.About the Role: We are looking for an AI Agent Engineer to bend language models to their will. In this role, you will collaborate with engineers and research scientists to enhance the effectiveness and safety of generative AI solutions by designing, testing, and improving prompts that drive clinical safety and patient experience. You will also create automations to test your creations.  An ideal candidate is equal parts software engineer and prompt engineer, product, loves experimentation and tinkering, is extremely thorough and detail oriented, and has a passion for conversation and communication. Responsibilities:Help achieve world class performance on several safety-critical LLM applicationsCollaborate with product managers to write detailed product specs for how models should behaveHelp design agentic model workflowsUse advanced prompting techniques to develop and optimize prompts for language models to improve model performance, clinical safety, and patient experience.Contribute to automated model testing and evaluation infrastructureBuild automations to create and select the best prompts for any given taskConduct experiments and analyze outcomes of model outputs to refine and iterate on prompt strategies.Write and configure prompts to create engaging, patient-oriented conversationsRequired Qualifications:Experience (5+ years) in a technical or semi-technical field, such as engineering, analytics, data science, or product managementDemonstrated product sense and intuition for conversation designProficiency writing simple scripts in PythonFamiliarity with basic principles of machine learning, conversational AI, and Large Language ModelsPreferred Skills:Experience developing, designing, and/or interacting with non-deterministic AI/ML systemsExperience designing and conducting experiments and statistical analysis, specifically measuring and optimizing the accuracy of model outputsExperience with written language, communications and/or conversation designSoftware engineering experienceCandidate Background:Given that the field of prompt engineering is very new, we understand that it’s unlikely that you will have direct experience on your resume. While direct experience in prompt engineering is not expected, we value transferable skills that align with the responsibilities of the position. Ideal candidates might come from various related fields where they have honed relevant skills in problem-solving, analytical thinking, and written communication.You might be a good fit if you have an engineering background and have or are looking to move into a product role. Perhaps you’re a data scientist who writes on the side. Or maybe you are a conversation designer who dabbled in computational linguistics.We are looking for high-aptitude adaptive thinkers who are willing to jump in and solve new problems using a variety of technical and non-technical approaches. Why Join Our Team:Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description
DevOps Engineer
Data Science & Analytics
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Canals - Sr Backend Engineer (Typescript, Node)

Darwin AI
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AR.svg
Argentina
Full-time
Remote
true
About the CompanyCanals is AI for distributors. AI-powered sales order entry that automatically turns customer emails into quotes, AI-powered accounts payable that automatically turns vendor emails into payables, AI-powered PO acknowledgement processing that automatically flags discrepancies in vendor confirmations vs your POs.No templates or part numbers needed. Our AI models are trained to handle a wide range of inputs, including email text, attachments, PDFs, CSV files, images, Word documents, and even handwritten notes. "I wouldn't work anywhere without this," is what users say. With data entry off their plate, your team can focus on work that matters: growing your business.Show your customers, suppliers, and team that you’re in business for the future, with operations that are faster and more accurate than ever before.About the RoleWe have a ton to do and need help to do it. Most of our work is on the backend, and we prefer generalists. We work in node, but we don't care if you don't have lots of node experience. Learning a new technology is not an issue for strong engineers.The interview process will include DSA-style live coding challenges.Tech StackTypescript, Node, Python(For the ML)Postgres, Elastic Search.DockerAWSSveltekitTailwind.We're just looking for 2 things:Get a lot done.Get it done well.Some of the qualities you'll need to be successful here are:Sense of Urgency. We run on a level of urgency that is Uncommon.Great Technical Talent.Good judgement. Meaning that you're going to receive autonomy and you need to do the right thing.Work Ethic/Motivation. Canals isn't fit for people looking for 9-5.Why Join usAn AI product that is actually useful and not just riding the bubble.Top 1% startup measured by time to revenue. You'll receive Equity.No runway. We're profitable.No accumulating tech debt, no bureaucracy. A culture of ''Just do it'' and prioritizing the long term.No VC, no chasing the next round. Just Laser focus in building a great company.Few meeting, just 2.5hs per week per engineer.Fully remote.Interview ProcessSilver screening Interview.Silver Technical Interview.Client Screening Interview.Client Live coding Interview.Client Technical interview.Client Behavioral Interview.
Software Engineer
Software Engineering
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Decagon.jpg

Agent Product Manager, Associate

Decagon
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US.svg
United States
Full-time
Remote
false
About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.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. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trust to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 2+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$170K – $200K + Offers Equity
Product Manager
Product & Operations
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Account Development Representative

Anyscale
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GB.svg
United Kingdom
Full-time
Remote
true
Enterprise Sales
Marketing & Sales
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Staff Machine Learning Engineer, Applied Science

Hippocratic AI
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US.svg
United States
Full-time
Remote
false
Machine Learning Engineer
Data Science & Analytics
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Customer Support Engineer

Together AI
USD
180000
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260000
US.svg
United States
Full-time
Remote
false
Customer Support Engineer Location: San Francisco, CA (Hybrid) About the role: As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services; ensure swift and effective solutions every time. Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams. Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction. Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support) Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers. Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers. Qualifications 5+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI  Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments. Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages. Familiarity with operating storage systems in HPC environments such as Vast and Weka Familiarity with inspecting and resolving network-related errors  Strong knowledge of Python, TypeScript, and/or JavaScript with testing/debugging experience using curl and Postman-like tools Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters. Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success. Strong sense of ownership and willingness to learn new skills to ensure both team and customer success. Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.  Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $180K-260K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
DevOps Engineer
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Software Engineer
Software Engineering
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Senior Software Engineer, Enterprise GenAI

Scale AI
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US.svg
United States
Full-time
Remote
false
Software Engineer
Software Engineering
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Partner Success Architect

Ema
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GB.svg
United Kingdom
Full-time
Remote
true
Business Development
Marketing & Sales
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Engineering Manager, API Experience

Anthropic
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US.svg
United States
Full-time
Remote
false
DevOps Engineer
Data Science & Analytics
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Decagon.jpg

Agent Product Manager

Decagon
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US.svg
United States
Full-time
Remote
false
About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.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. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trust to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 4+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $275K + Offers Equity
Product Manager
Product & Operations
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Agent Software Engineer

Decagon
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US.svg
United States
Full-time
Remote
false
About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleOn the Agent Engineering team, you’ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willDesign and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionIdentify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsExperiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customersYour background looks something like thisHave 2+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into system failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$220K – $300K + Offers Equity
Software Engineer
Software Engineering
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Strategic Legal Counsel

Tandem
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US.svg
United States
Full-time
Remote
false
Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs Strategic Legal Counsel at Tandem, you will help define and build our legal function — owning key areas of regulatory, commercial, and corporate risk while serving as a business-aligned leader driving company strategy. This is not a traditional legal role. You’ll bring high judgment, fast execution, and deep curiosity — constantly scanning for areas where legal strategy can accelerate growth, build defensibility, or eliminate friction.You’ll manage legal operations across the company, serve as the point of coordination for multiple outside counsel relationships, and help guide core decisions. You will be expected to use legal tools not just to protect the business, but to unlock new capabilities, accelerate execution, and influence how we grow.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to “act like an owner” and commit yourself to Tandem’s success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.If you join, you will:Own and operationalize Tandem’s legal infrastructure — including contracting, compliance, regulatory posture, and corporate structureServe as the internal lead across a network of outside counsel, synthesizing input and driving high-confidence decisionsBuild scalable legal workflows that support commercial velocity and cross-functional execution across provider, pharma, vendor, and data relationshipsStay ahead of regulatory developments and industry shifts, turning risk into opportunity where possibleIdentify and help implement legal or structural changes that expand Tandem’s capabilities or unlock strategic advantagesLead company-critical projects where legal is only part of the equation — such as launching new services, structuring external partnerships, or building out new functionsPartner closely with our CEO and leadership team on company-wide priorities, including strategic initiatives, GTM support, and product expansionWe’ll be most excited if you have:6–15 years of legal experience, ideally with time spent both at a top-tier law firm and in-house at a high-growth companyFluency across commercial and regulatory domains — ideally including exposure to healthcare, life sciences, or similarly regulated sectorsA track record of navigating ambiguity, balancing risk with speed, and providing clear decision-making frameworksFamiliarity with managing outside counsel and distilling legal complexity into actionable recommendationsOperator mindset — you enjoy building, problem-solving, and contributing to business decisions directlyStrong written and verbal communication that allows you to be an effective participant in both internal debates and external relationshipsHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact:Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Legal
Legal & Compliance
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Provider Growth Lead

Tandem
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US.svg
United States
Full-time
Remote
false
Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs Provider Growth Lead on our team, you will lead our go-to-market strategy with health systems, physician groups, and other provider organizations — and be ultimately accountable for network expansion. This role is critical to establishing Tandem as a core infrastructure partner to providers nationwide. You will architect and own our provider-facing sales motion, driving both near-term adoption and long-term strategic alignment. You will be responsible for high-priority relationships, enterprise sales execution, and building the foundation for a scalable team and repeatable playbook.We expect you to successfully onboard dozens of large provider organizations over the next 12 months and lay the groundwork for even faster growth beyond.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to “act like an owner” and commit yourself to Tandem’s success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.If you join, you will:Become an expert in both Tandem’s full surface area and the structure, incentives, and dynamics of provider organizationsOwn our provider enterprise strategy — from market segmentation and GTM design to execution, team-building, and network activationPersonally lead high-stakes enterprise sales efforts, navigating multi-stakeholder decisions and setting the tone for long-term relationshipsPartner closely with product, legal, and compliance to align our offering with enterprise provider needs and ensure operational fitRecruit and lead a high-performance team, while continuing to personally close strategic dealsExplore, evaluate, and execute on new opportunities for the company, including strategic partnerships and new products and servicesWork closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitabilityWe’ll be most excited if you have:5-10 years of experience in enterprise sales, BD, or partnerships with a proven track record of owning and closing complex dealsStrong familiarity with provider orgs — ideally having sold into them or worked in environments requiring clinical, IT, and legal navigationPrevious success building or scaling GTM teams at early-stage or high-growth companiesExecutive presence and fluency — able to engage senior leaders across functions and drive alignment in ambiguous environmentsStrong written and verbal communication that allows you to be an effective participant in both internal debates and external relationshipsTrack record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goalsHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact:Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Business Development
Marketing & Sales
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Business Talent Acquisition Partner - Contract

Synthesia
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GB.svg
United Kingdom
Contractor
Remote
false
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