Together AI's Posts (85)

Customer Support Engineer

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 Qualifications 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. - 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. - 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.

Location: San Francisco

Salary range: None - None

Director, Field Engineering

Director, Field Engineering Location:San Francisco, CA (Hybrid) About the role:As a Director, Field Engineering at Together AI, you will build and lead a deeply technical post-sales team that work with our customers to build AI applications. This leader will directly impact the path to renewal and expansion for our customers, making them an integral component of the overall revenue team. 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 Qualifications 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: 230-300K + 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. Please see our Privacy Policy athttps://www.together.ai/privacy - Mentor and lead a team of post-sales engineers that are deeply embedded in Together AI’s largest customers, driving technical outcomes every day - Manage account health of Together AI’s entire customer base, understanding active issues and overall trends leading to real-time customer health - Proactively identify risk in accounts based on technical telemetry and overall business metrics - Own voice of the customer program to deliver high-value feedback to our Product, Engineering, and Research teams - Take on IC responsibility as a technical advisor to 3-5 key customers, primarily assisting in maintaining reliability and performance of their GPU clusters - Build educational content and tooling for both internal and external use around Together’s solutions (i.e., playbooks, blogs, demos, etc.) - Build and maintain strong relationships with technical stakeholders within accounts, ensuring the successful deployment and scaling of their applications - 10+ years of experience in a technical role with at least 5 years managing customer-facing technical teams - Strong organizational skills and ability to manage dozens of customer implementations at once - 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), container infrastructure (Docker). - Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.

Location: San Francisco

Salary range: None - None

Enterprise Account Executive

As an Enterprise Account Executive at Together, you will play a critical role in driving AI innovation by securing high-value enterprise accounts. You’ll focus on building and expanding relationships with some of the largest companies in the world, helping them leverage Together’s product suite to achieve transformative outcomes. You’ll work cross-functionally with product, engineering, and research teams to deliver the most impactful solutions, running proof-of-concepts (POCs) and identifying strategic opportunities to scale within accounts. The ideal candidate is a seasoned sales professional with a technical background, a proven track record of landing and expanding enterprise deals, and has a passion for AI, machine learning, or infrastructure products. 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. We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $240-350k OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. This is a hybrid role based in the Bay Area. 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. Please see our privacy policy athttps://www.together.ai/privacy - Close Large Enterprise Deals: Own the end-to-end sales process, from generating pipeline to closing high-value, strategic enterprise deals. - Drive Expansion Opportunities: Identify and capitalize on opportunities for growth within existing accounts, becoming a trusted partner to key decision-makers. - Manage POCs: Collaborate with internal technical teams and clients to design and execute successful proof-of-concepts that demonstrate the value of Together’s AI solutions. - Pipeline Generation: Consistently generate and manage a robust pipeline, identifying new business opportunities and strategically positioning Together’s offerings. - Collaborate with Product Teams: Bring the voice of the customer into product discussions, ensuring Together’s solutions align with enterprise needs and market trends. - 7-10 years of sales experience, with at least 1-3 years focused on strategic enterprise selling. - Strong technical background, with experience in sales of AI/ML and/or infrastructure products strongly preferred. - Proven success in closing large enterprise deals and expanding relationships within complex organizations. - Ability to lead and manage POCs, working closely with technical teams to ensure success. - Excellent communication skills, with the ability to engage effectively with both C-level executives and technical teams. - Highly adaptable, proactive, and thrives in a fast-paced environment. - Demonstrated ability to consistently meet or exceed revenue targets and pipeline generation goals.

Location: San Francisco

Salary range: None - None

Marketing Analytics and Ops ManagerNew

We are seeking a highly analytical and process-oriented Marketing Analytics and Operations professional to join our dynamic marketing team. This role will report into the Revenue Strategy and Operations team. The ideal candidate will bridge the gap between marketing strategy and execution, leveraging data to optimize campaigns, streamline operations, and enhance overall marketing performance. Marketing Analytics: Marketing Operations: 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. We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $170-210K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. This is a hybrid role based in the Bay Area. 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. Please see our privacy policy athttps://www.together.ai/privacy - Develop, maintain, and automate marketing dashboards and reports that provide actionable insights into campaign performance, pipeline contribution, and ROI. - Analyze marketing data from various sources (CRM, marketing automation, web analytics, advertising platforms) to identify trends, opportunities, and areas for optimization. - Conduct deep-dive analyses on specific campaigns, channels, and segments to understand their impact and inform future strategies. - Define and track key marketing metrics (e.g., MQLs, SQLs, CAC, LTV, conversion rates, funnel velocity) and communicate performance to stakeholders. - Collaborate with sales operations and finance teams to ensure alignment on reporting, data definitions, and attribution models. - Forecast marketing performance and identify potential risks and opportunities based on data. - Manage and optimize our marketing technology stack (e.g., Salesforce, Pardot, Outreach, Google Analytics, BI tools). - Develop, implement, and optimize marketing processes, workflows, and best practices to improve efficiency and scalability. - Ensure data integrity and cleanliness within marketing systems, including lead routing, lead scoring, and data enrichment. - Oversee the implementation and maintenance of lead scoring models, nurturing programs, and segmentation strategies. - Manage audience segmentation and targeting efforts to ensure effective delivery of marketing messages. - Support campaign execution by providing technical assistance, list management, and performance tracking setup. - Document marketing operations processes and provide training to marketing team members on system usage and best practices. - Stay up-to-date with industry trends, marketing automation best practices, and new technologies. - Bachelor's degree in Marketing, Business, Statistics, Economics, Computer Science, or a related quantitative field. - 5-7 years of experience in Marketing Analytics, Marketing Operations, Business Intelligence, or a similar role, preferably in a B2B SaaS environment. - Strong proficiency with Marketing Automation Platforms (e.g., HubSpot, Marketo, Pardot). - Proven experience with data visualization tools (e.g., Tableau, Power BI, Google Data Studio, Looker) and creating impactful dashboards. - Excellent analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. - Advanced Excel skills (e.g., pivot tables, VLOOKUPs, complex formulas). - Solid understanding of marketing funnel mechanics, lead management processes, and sales & marketing alignment. - Experience with SQL, R, or Python for data extraction and analysis is a strong plus. - Familiarity with web analytics platforms (e.g., Google Analytics, Adobe Analytics). - Strong project management skills and the ability to manage multiple priorities in a fast-paced environment. - Exceptional communication and interpersonal skills, with the ability to translate complex data into clear, actionable insights for non-technical stakeholders.

Location: San Francisco

Salary range: None - None

Technical Account Manager

Location:San Francisco, CA (Hybrid) About the role:As a Technical Account Manager at Together AI, you will work with our customers to create business value through AI applications. Technical Account Managers at Together are the foremost voice of the customer internally and the first line of defense externally. TAMs directly impact the path to renewal and expansion for our customers, making them an integral component of the overall revenue team. 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 Qualifications 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: $150-220K + 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. Please see our Privacy Policy athttps://www.together.ai/privacy - Act as a technical advisor to our most strategic customers, deeply embedding with them to support the ideation and development of training, fine tuning and inference solutions on Together - Build educational content and tooling for both internal and external use around Together’s solutions (i.e., playbooks, blogs, demos, etc.) - Manage customer state at all times from active support tickets, to current implementation success to identifying potential new technical avenues of growth - Build and maintain strong relationships with technical stakeholders within accounts, ensuring the successful deployment and scaling of their applications - Deliver high-value feedback to our Product, Engineering, and Research teams, ensuring our platform continues to evolve to meet customer needs - 5+ years of experience in a customer-facing technical role with at least 2 years in a post-sales function - Strong organizational skills and ability to manage dozens of customer implementations at once - Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments. - Strong understanding of training, fine-tuning and inference in the context of open source LLMs - Proficiency in Python and JavaScript, with experience building and delivering prototypes on API platforms. - Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible), container infrastructure (Docker). - Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.

Location: San Francisco

Salary range: None - None

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