Lead Data Partnerships at Thinking Machines Lab

At Thinking Machines Lab, we are dedicated to empowering humanity through the advancement of collaborative general intelligence. Our vision is to create a future where everyone has access to the knowledge and tools necessary to harness AI for their distinct needs and aspirations.Our team comprises scientists, engineers, and innovators who have developed some of the most utilized AI products globally, including ChatGPT and Character.ai, as well as leading open-weight models like Mistral and popular open-source initiatives such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleAs the Lead for Data Partnerships at Thinking Machines Lab, you will oversee the complete data procurement pipeline for frontier model training. This includes understanding the data requirements of our research teams, sourcing and finalizing agreements with providers, and managing the quality and delivery of data. You will serve as the bridge connecting our research, legal teams, and external vendors, ensuring timely access to the right data for our teams.This role is perfect for someone with a technical inclination who is eager to delve into the intricacies of data to support an ambitious research agenda. You must be adept at switching contexts between planning the data needed for training runs and negotiating pricing with vendors. Over time, you will establish scalable and repeatable processes to ensure our data operations align with the pace of our research efforts.What You Will DoLead and coordinate end-to-end data procurement initiatives, ensuring complex sourcing activities are conducted with efficiency, transparency, and scientific rigor.Collaborate closely with research teams to proactively identify data needs across pre-training, post-training, and evaluation workstreams, anticipating requirements rather than merely reacting to requests.Source, assess, and onboard data providers, developing and maintaining a pipeline of potential vendors across various domains.Negotiate pricing, licensing terms, and contract structures with data providers, collaborating with legal teams to finalize agreements that align with our research objectives.Evaluate incoming data alongside researchers, determining quality and coverage for intended training goals.Monitor and manage ongoing data deliveries, tracking schedules, addressing issues, and verifying that received data aligns with agreements.Create repeatable, scalable processes surrounding the entire data procurement lifecycle, enhancing the speed and systematic nature of data sourcing over time.Translate technical data requirements into actionable plans with clear milestones, ensuring team alignment across projects.

Thinking Machines Lab brings together scientists, engineers, and innovators with a track record in developing widely used AI products and open-source projects. The team has contributed to tools like ChatGPT, Character.ai, Mistral, PyTorch, OpenAI Gym, Fairseq, and Segment Anything. The company’s mission centers on advancing collaborative general intelligence to help people achieve more with AI tailored to their needs. Tinker, the company’s fine-tuning API, enables researchers and developers to adapt advanced AI models to their own data and algorithms. By handling the infrastructure, Tinker allows users to focus on customization, opening up capabilities that were once limited to a few specialized labs. As Tinker’s customer base and feature set grow, the team is focused on building a scalable platform and supporting an expanding community. Role overview The GTM Strategy & Operations Lead will build and refine the commercial structure for Tinker. This person will design strategies and processes that turn organic product adoption into a consistent, scalable revenue stream. The role involves shaping how Tinker’s fine-tuning capabilities are packaged, priced, launched, and sold across different customer segments. Collaboration with product, engineering, and research teams is central to the work. Tinker is designed for technically sophisticated users. The GTM lead must be comfortable discussing training infrastructure and understand how developers evaluate and adopt new tools. What you will do Develop and execute commercialization strategies for Tinker, including pricing, packaging, and launch plans based on market and competitor analysis. Create go-to-market approaches tailored to different types of customers. Manage partnerships to expand Tinker’s reach and open new channels for demand. Design and oversee customer pilots, onboarding, and expansion playbooks to move accounts from testing to production use. Produce commercial playbooks to help customer-facing engineers and FDEs position and sell Tinker effectively. Set and track success metrics for launches and GTM projects, running experiments to test assumptions about pricing and product packaging.

At Thinking Machines Lab, we are on a mission to empower humanity by advancing collaborative general intelligence. Our vision is to create a future where everyone has access to the knowledge and tools necessary to harness AI for their unique needs and objectives.We are a diverse team of scientists, engineers, and builders responsible for developing some of the most influential AI products on the market, such as ChatGPT and Character.ai. Our contributions extend to open-weight models like Mistral and popular open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking talented engineers to join our team and develop the libraries and tools that will accelerate research efforts at Thinking Machines. You will take charge of our internal infrastructure—creating evaluation libraries, reinforcement learning training libraries, and experiment tracking platforms—while building systems that enhance research velocity over time.This position emphasizes collaboration. You will work closely with researchers to identify bottlenecks and pain points, ensuring that they trust your systems to function seamlessly and find them enjoyable to use.What You'll DoDesign, build, and manage research infrastructure, including evaluation frameworks, RL training systems, experiment tracking platforms, visualization tools, and shared utilities.Develop high-throughput, scalable pipelines for distributed evaluation, reward modeling, and multimodal assessment.Establish systems for reproducibility, traceability, and robust quality control across research experiments and model training runs, implementing effective monitoring and observability.Collaborate directly with researchers to identify bottlenecks and unlock new capabilities, managing research tools like a product manager by proactively seeking feedback and tracking adoption.Work alongside infrastructure, data, and product teams to integrate tools across the technical stack.

Join mercor as a Healthcare Data Partnerships Lead in San Francisco, where you will play a pivotal role in forging strategic partnerships within the healthcare data landscape. Your expertise will drive innovation and improve healthcare outcomes through data collaboration. You will work closely with cross-functional teams to identify opportunities for leveraging data partnerships, ensuring compliance with industry standards while maximizing data utility.

OP Labs is at the forefront of developing the technology behind Optimism, the premier blockchain infrastructure provider responsible for over 65% of all Layer 2 transactions. Our open-source OP Stack allows developers and enterprises to effortlessly create scalable, secure, and customizable on-chain networks. Supported by investors such as a16z and Paradigm, we have successfully raised over $175M to propel the next wave of on-chain innovation.Role OverviewAs the Partnerships Lead for Blockchain Infrastructure, you will be instrumental in driving the development of infrastructure partnerships that are crucial for the Superchain. This role encompasses managing the complete lifecycle of vital partnerships within the OP Stack ecosystem, from identifying opportunities to closing deals and maintaining relationships with key blockchain infrastructure providers. A unique blend of commercial, strategic, and technical skills is essential to successfully navigate the dynamic crypto landscape.Key ResponsibilitiesOversee the entire lifecycle (sourcing, negotiation, integration, and partner management) for essential ecosystem infrastructure partnerships, such as:On/off ramps and payment solutions.Compliance, insurance, and risk management frameworks.Market makers, liquidity infrastructure, and select centralized exchange relationships.Partnerships related to stablecoins and fiat-rail services.Work collaboratively with the Product team to define and launch new offerings that utilize third-party technologies, particularly in areas such as Privacy and CGT.Develop and maintain the strategic roadmap for the infrastructure partner ecosystem.Communicate proactively with executive leadership regarding key ecosystem developments, potential partnership challenges, and strategic updates.QualificationsPartnership & Business Acumen:Extensive experience in managing and scaling strategic partnerships within the crypto infrastructure domain, demonstrating a successful track record in overseeing complex categories from start to finish.Exceptional commercial abilities in deal structuring and negotiation for multi-party or multi-chain agreements, effectively aligning partner economics with ecosystem goals.

At Thinking Machines Lab, we strive to empower humanity by advancing collaborative general intelligence. Our vision is to create a future where everyone can access the knowledge and tools necessary to harness AI for their specific needs and aspirations.Our team comprises scientists, engineers, and innovators who have developed some of the most widely utilized AI products, such as ChatGPT and Character.ai, along with notable open-weight models like Mistral, as well as prominent open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleAs a Research Product Manager (RPM) at Thinking Machines Lab, you will play a pivotal role in driving complex, high-impact technical products and programs that encompass research, infrastructure, and applied initiatives. You will facilitate the transformation of ambitious concepts into reality by propelling cross-functional collaboration, ensuring projects maintain momentum, and fostering clarity in fast-paced, ambiguous settings.Your contributions will connect people, ideas, and systems, guaranteeing that our critical research initiatives remain aligned, well-defined, and progressing efficiently. This position is ideal for someone who excels in technical discussions, comprehends the intricacies of research, can conceptualize at a high level while also delving into detailed aspects, ultimately aiming to assist the company in executing at scale.Note: This is an "evergreen role" that we keep open on an ongoing basis to express interest. We receive numerous applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Nevertheless, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities arise. You are welcome to reapply if you gain more experience, but please refrain from applying more than once every six months. You may also find that we post job openings for specific roles related to separate projects or team needs. In those cases, you are welcome to apply directly in addition to this evergreen role.What You’ll DoDrive and coordinate large-scale research products and programs, ensuring that complex projects are executed efficiently, transparently, and with scientific rigor.Translate technical ideas into actionable, well-scoped plans, defining milestones and ensuring team alignment across model development, data campaigns, infrastructure, and product integration.Collaborate across disciplines—from research and ML infrastructure to legal and business development—quickly ramping up on new domains as necessary.Create and maintain compute and resource roadmaps, identifying bottlenecks and solutions to optimize project flow.

Thinking Machines Lab brings together scientists, engineers, and innovators behind widely recognized AI products such as ChatGPT and Character.ai, as well as open-source frameworks like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. The team is driven by a mission to enhance humanity through collaborative general intelligence, aiming for a future where AI adapts to individual needs and goals. Tinker, the lab’s fine-tuning API, empowers researchers and developers to customize advanced AI models for their own use cases. Tinker manages the infrastructure, allowing users to train open-weight models with their chosen datasets, algorithms, and objectives. As Tinker grows its user base and features, the team is expanding to better support the community. Role overview The Forward Deployed Engineer acts as the main point of contact for a broad range of clients, from solo developers to large organizations. This role identifies customer challenges and requirements, then translates those insights into actionable product improvements. Both customer interaction and product development responsibilities are central to this position. What you will do Triage and resolve customer issues across the full stack, including analyzing logs, reproducing failures, and tracing job executions. Develop tools, integrations, and automation to address recurring problems and speed up user support. Create and update clear documentation and practical guides based on real user experiences and implementations. Work closely with research and infrastructure teams to turn customer feedback into prioritized engineering tasks. Help shape Tinker’s product roadmap by sharing insights from daily customer interactions.

Thinking Machines Lab aims to advance collaborative general intelligence, making AI accessible and adaptable for individuals and organizations. The team brings together scientists, engineers, and innovators behind well-known AI solutions, including ChatGPT, Character.ai, Mistral, and open-source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. Tinker, the lab’s fine-tuning API, helps researchers and developers customize AI models using their own data and algorithms. By handling the infrastructure, Tinker allows users to focus on training and deploying models that suit their needs. With a growing customer base and expanding features, the team is looking for a Software Engineer, Platform to support Tinker's continued development. Role overview This position centers on building and maintaining the core platform systems that power Tinker. The engineer will manage billing and usage metering, permissions and access control, organizational structures, data exports, audit logging, and the administrative tools that tie these systems together. Collaboration with product and legal teams is essential, as changes to features, pricing, and enterprise agreements will involve this role. What you will do Design the authorization layer for all products, including RBAC, API key scoping, organizational hierarchies, and permission boundaries. Oversee billing infrastructure, covering usage metering, plan management, payment processing, invoicing, and revenue recognition support. Develop and improve models for organizations and teams, such as seat management, SSO/SAML, workspace isolation, and invitation flows. Implement data export and deletion processes that align with enterprise standards and data residency requirements. Create audit logging systems to track user actions and decisions. This role is based in San Francisco.

At Thinking Machines Lab, we are on a mission to enhance humanity through the advancement of collaborative general intelligence. Our vision is to create a future where everyone has the opportunity to leverage AI tailored to their individual needs and aspirations.Our team comprises scientists, engineers, and innovators who have developed some of the most renowned AI products in the industry, such as ChatGPT, Character.ai, as well as open-weight models like Mistral and popular open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking an Executive Business Partner to provide vital support to several technical leaders from our San Francisco office. Your role will be crucial in ensuring our team remains focused and organized by managing personal logistics and handling tasks that may otherwise be overlooked.This position is unique, requiring creativity and flexibility to adapt to various work styles and the dynamic challenges of a fast-paced startup environment. You will enjoy significant autonomy in decision-making without extensive supervision.What You’ll DoManage calendars, schedule meetings, and coordinate travel for 3-4 technical leaders.Act as the primary liaison between your supported leaders and other departments within the company.Assist with recruiting coordination efforts.Monitor projects and commitments to ensure nothing is overlooked.

OP Labs is at the forefront of developing cutting-edge technology for Optimism, the premier blockchain infrastructure provider, facilitating 65% of all Layer 2 transactions. Our innovative, open-source OP Stack empowers developers and enterprises to effortlessly launch scalable, secure, and customizable on-chain networks. With the backing of renowned investors such as a16z and Paradigm, we have successfully raised over $175M to spearhead the next wave of on-chain innovation.Role OverviewAs the Partnerships Lead for Strategic Accounts, you will be responsible for managing a select portfolio of Optimism’s most critical Superchain partners. You will act as the primary point of contact, ensuring relationship health, executing strategies, and delivering long-term value. Collaborating cross-functionally with Product, Engineering, Legal, and Go-To-Market teams, you will align partner objectives with Optimism’s strategic roadmap and drive partnership initiatives to fruition.Key ResponsibilitiesManage a portfolio of Tier 1 accounts, serving as the main point of accountability for relationship health, execution quality, and sustained impact.Design and implement long-term account strategies and Joint Business Plans (JBPs) for each partner, ensuring alignment with Optimism’s product roadmap and revenue objectives.Oversee the entire account lifecycle, including onboarding, integration, go-live preparation, performance management, renewal, and expansion.Drive measurable revenue outcomes through the establishment of clear KPIs, regular Quarterly Business Reviews (QBRs), and data-driven decision-making.Collaborate intensely with Product, Engineering, Legal, Data, and GTM teams to define project scopes, address blockers, manage trade-offs, and ensure timely delivery of high-quality results.Act as the executive-level relationship steward, cultivating trust with senior partner stakeholders, managing escalations, and navigating the complexities of organizational dynamics.Proactively identify risks and opportunities within your accounts, such as churn risk, underperforming initiatives, or potential for expansion, and develop remediation strategies.

At Thinking Machines Lab, our mission is to empower humanity by advancing collaborative general intelligence. We envision a future where everyone has access to the knowledge and tools necessary to leverage AI for their unique goals.Our team consists of scientists, engineers, and builders who have developed some of the most utilized AI products, such as ChatGPT and Character.ai, alongside open-weight models like Mistral and popular open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.HR Business PartnerThe HR Business Partner role is essential in empowering our team to thrive as we scale. You will be pivotal in coaching our leaders and designing people systems that align with our mission.As the HR Business Partner, you will facilitate leadership coaching and the design of performance management systems that foster growth and collaboration. You will support managers in enhancing team dynamics and personal development while building a scalable people infrastructure that includes performance feedback systems, compensation structures, and career frameworks.What You’ll DoProvide coaching to managers by observing their leadership styles, identifying strengths and areas for growth, and promoting continuous improvement.Advise leadership on organizational strategies, including team structure, succession planning, and strategic people decisions that influence our operational effectiveness.Develop compensation frameworks that attract top-tier machine learning talent while ensuring alignment with our core values and principles.Create career progression frameworks tailored for a research environment where growth often transcends traditional management roles and where contributions such as mentorship and expertise are valued.Establish feedback and evaluation mechanisms that prioritize personal improvement over mere assessment.

Thinking Machines Lab brings together scientists, engineers, and innovators who have contributed to well-known AI products such as ChatGPT, Character.ai, and open-weight models like Mistral. The team’s open-source projects include PyTorch, OpenAI Gym, Fairseq, and Segment Anything. Their mission centers on advancing collaborative general intelligence and making AI tools accessible for a wide range of users and goals. The Tinker platform offers a fine-tuning API that lets researchers and developers tailor advanced AI models to their needs. By handling the underlying infrastructure, Tinker enables users to train open-weight models with custom data, algorithms, and objectives. As demand grows, the team is adding new features and supporting an expanding community. Role overview The Full Stack Software Engineer will play a key part in building and maintaining the products and services that Tinker users depend on. This position involves working closely with frontend, backend, and infrastructure teams to deliver the Tinker console, developer tools, and essential features. What you will do Develop and enhance Tinker’s APIs and backend services using Python and Rust, focusing on areas like job submission, orchestration, billing, and usage tracking. Design and launch user interfaces, including the Tinker console and upcoming developer tools, using React and TypeScript. Refine the developer experience by improving SDK usability, error messages, API design, and onboarding processes. Work to increase system reliability, observability, and security in production, and participate in on-call rotations. Create internal tools that help research and infrastructure teams work more efficiently. Location This role is based in San Francisco, California.

Thinking Machines Lab brings together scientists, engineers, and innovators who have shaped well-known AI products like ChatGPT and Character.ai, as well as open-weight models such as Mistral. The team also contributes to open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything. The company’s mission centers on advancing collaborative general intelligence, aiming to make AI accessible and adaptable to individual needs. Tinker, the company’s fine-tuning API, enables researchers and developers to customize advanced AI models using their own data and algorithms. Thinking Machines manages the infrastructure, giving users the flexibility to train open-weight models while focusing on their unique requirements. As Tinker expands, the platform continues to evolve alongside its growing community. Role overview The Site Reliability Engineer will focus on improving the reliability and resilience of the Tinker platform. This role involves close collaboration with platform engineers and research teams to strengthen every layer of the system, from infrastructure to user-facing services. What you will do Define and take ownership of end-to-end reliability, including CI/CD workflows, production observability, and incident response processes. Set Service Level Objectives for distributed training systems, balancing reliability, scheduling latency, and development speed. Design and implement monitoring and observability across the training pipeline. Manage incident response for Tinker, ensuring prompt recovery, thorough incident analysis, and systematic improvements to prevent recurrence. Enhance multi-tenant isolation and resource scheduling to support LoRA-based workload co-scheduling, maintaining both reliability and data separation. Collaborate with security teams to identify and address production vulnerabilities. This position is based in San Francisco.

Join Our Team at Pareto.AIAt Pareto.AI, we are dedicated to empowering exceptional talent globally to engage in the creation of innovative AI models. Our vision is to leverage AI to revolutionize the workplace, generating thousands of new training opportunities for skilled professionals worldwide.We collaborate with esteemed AI research and crowd-sourcing leaders, including Anthropic, Character.AI, Imbue, Stanford, and the University of Pennsylvania, to establish a fair and ethical ecosystem where AI developers and domain specialists can unite to craft customized AI models.Position OverviewWe are seeking a Technical Partnerships Lead who will be responsible for devising and implementing a comprehensive strategy for data acquisition that supports the training of advanced AI models. This pivotal role bridges AI research, partnership building, and business growth; you will collaborate closely with our technical teams to define our data needs and strategize on procurement methods.This is a unique role demanding a blend of technical expertise to discern high-quality training data for cutting-edge AI systems, along with innovative problem-solving skills to source data from diverse origins: research institutions, niche startups, enterprises, and specialized communities. The ideal candidate will be enthusiastic about the quest for complex, realistic datasets in unconventional venues—someone who can strategically identify valuable data sources, cultivate trust across varied industries, and execute with determination.If you excel at merging technical depth, inventive sourcing strategies, and operational excellence, we want to hear from you!

Thinking Machines Lab brings together scientists, engineers, and innovators who have contributed to well-known AI products such as ChatGPT, Character.ai, and open-source frameworks like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. The team's mission centers on advancing collaborative general intelligence, aiming to make AI accessible for people to address their own needs and ambitions. The Tinker platform offers a fine-tuning API that lets researchers and developers tailor advanced AI models to their specific requirements. Tinker provides the infrastructure, while users maintain flexibility to train open-weight models with their own data and algorithms. As Tinker grows its features and user base, the team is expanding to support the platform's evolution. Role overview This Full Stack Software Engineer role focuses on designing, building, and maintaining the products and services that Tinker users rely on. The work covers frontend, backend, and infrastructure, with an emphasis on the Tinker console, developer tools, and meeting the changing needs of the Tinker community. What you will do Develop and improve Tinker’s APIs and backend services using Python and Rust, including systems for job submission, orchestration, billing, and usage tracking. Build user-facing interfaces such as the Tinker console and future developer tools with React and TypeScript. Enhance the developer experience by refining SDK usability, error messages, API design, and onboarding workflows. Increase system reliability, observability, and security in Tinker’s production environment, and participate in on-call rotations. Create internal tools to support the research and infrastructure teams working on Tinker. This position is based in San Francisco.

Join unto-labs as a Creative Lead, where you will spearhead innovative projects, guiding our creative team to produce exceptional digital solutions. Your vision will shape our brand identity and enhance user experiences. If you are passionate about creativity and have a strong portfolio, we want to hear from you!

About Absentia LabsAbsentia Labs is at the forefront of innovation, creating intelligent systems that integrate artificial intelligence, biology, chemistry, and large-scale engineering. Our mission is to convert intricate scientific data into machine intelligence that can reason, generalize, and foster discovery.We tackle the challenges of fragmented, noisy, and interconnected biomedical data, transforming it into a meaningful signal through robust data foundations and well-designed learning systems that are scalable across different modalities, tasks, and uncertainties. This position emphasizes the design and training of such systems.The RoleAs a Senior AI/ML Engineer, you will spearhead the architecture, training, and deployment of large-scale machine learning models that are central to Absentia Labs’ AI initiatives. Your role will bridge model architecture, training systems, and production infrastructure, granting you significant ownership of the technical direction.This position is tailored for engineers experienced in training large models in real-world production settings, who are adept at navigating scale and can analyze both learning dynamics and system constraints.What You’ll DoDesign, train, and evaluate large-scale models, including Large Language Models (LLMs), diffusion models, and Graph Neural Networks (GNNs).Own end-to-end training pipelines, from dataset interfaces and batching strategies to distributed training and checkpointing.Make informed decisions regarding model architecture, objective functions, optimization strategies, and scaling principles.Develop and enhance distributed training systems (data parallelism, model parallelism, sharding, mixed precision).Collaborate closely with data engineers to establish ML-ready datasets and streaming interfaces.Translate vague scientific or product requirements into solid ML solutions.Lead model assessment, ablation, and iteration with a focus on generalization, stability, and reproducibility.Contribute to architectural decisions concerning model serving, inference efficiency, and lifecycle management.Provide technical leadership through design reviews, mentorship, and cross-functional collaboration.Who You AreYou are a senior ML engineer with a holistic approach to models as systems. You comfortably navigate uncertainty, make informed trade-offs between compute, data, and performance, and take ownership of outcomes from research through to deployment.

Role Overview Juicebox Inc. is hiring a Partnerships Lead in San Francisco. This position focuses on building and managing collaborations that support our brand and help us reach new markets. What You Will Do Identify organizations and companies that align with Juicebox Inc.'s business goals Develop and maintain strong relationships with potential and existing partners Negotiate agreements that support company objectives What We Look For Experience leading partnership or business development initiatives Comfort working in a fast-moving setting Interest in creating and sustaining meaningful business relationships

About KreaAt Krea, we are at the forefront of developing cutting-edge AI creative tools. Our mission is to create intuitive and controllable AI solutions that enhance human creativity rather than replace it. We view AI as a new medium that enables diverse forms of expression, including text, images, video, sound, and even 3D creations. Our commitment is to build smarter, more effective tools that harness this innovative medium.With over $83 million in funding from esteemed Silicon Valley investors, including Andreessen Horowitz and Bain Capital, we operate full-time from our scenic waterfront office in San Francisco. Our diverse team is passionate about creativity and includes musicians, designers, visual artists, and engineers.This RoleWe are seeking a Partnerships Lead who will excel at the intersection of product development, partnerships, and creativity.In this role, you will be responsible for identifying and finalizing strategic partnerships, staying well-informed about the creative AI landscape, and managing partnerships from conception through to implementation and launch. This position requires strong product instincts, the ability to work across product and creative teams, and the capacity to manage technically complex collaborations.Your Responsibilities:Lead negotiations with GPU and cloud service providers, overseeing credits, capacity, pricing, and SLAs.Stay updated on the creative AI ecosystem, including tools, models, platforms, and emerging players.Manage partnerships from strategy and deal structure to product integration and launch.Collaborate closely with product and engineering teams to scope, prioritize, and deliver partnership-related initiatives.Coordinate with creative teams to ensure all assets for product integrations and launches meet high standards of quality and readiness.Define and execute launch plans and narratives for partnerships in collaboration with product, growth, and creative teams.Build and nurture long-term partner relationships, acting as the internal advocate for those partnerships.

About RoxRox is pioneering the AI-native revenue operating system designed for contemporary go-to-market teams. Supported by industry leaders such as Sequoia, GV, and General Catalyst, we collaborate with some of the most ambitious enterprise teams to transform disjointed CRM workflows into intelligent, autonomous systems. Rox seamlessly integrates data across the go-to-market stack, deploys AI agents for real tasks, and provides revenue leaders with a transparent, unified perspective of the key drivers behind their outcomes.As a dynamic, fast-paced Series A startup, we are taking on one of the most entrenched realms of software, succeeding by marrying deep technical expertise with a relentless focus on practical utility.About the Partnerships TeamThe Partnerships team is vital for scaling Rox’s growth by establishing and managing strategic alliances with key partners who can mutually benefit from collaborating with us. Situated within the go-to-market organization, this team is tasked with sourcing, accelerating, and facilitating deal closures for Rox while ensuring a win-win scenario for our partners.You will be the inaugural Partnerships hire, joining at a pivotal moment. Our headquarters are located in San Francisco, but your role will involve supporting sales teams across our key regions, including Central (Austin) and East (New York). The partnerships you forge — who we collaborate with, how we collaborate effectively, and how we co-sell — will serve as the model for the company.About the RoleThis founding-level Director of Partnerships position is for an individual who will work closely alongside our Sales organization, acting as the ecosystem authority, a strategic deal maker, and the orchestrator of co-selling, ensuring the right partners are engaged at the ideal opportunities. Your mission: to ensure partner involvement in every deal—whether for insights, influence, or co-selling—and to drive measurable revenue outcomes through partner engagement.If you excel at the intersection of sales execution, ecosystem strategy, and revenue accountability, and aspire to shape the company’s go-to-market strategy from the ground up, this opportunity is tailored for you.What You’ll DoEstablish and maintain a network of strategic partnerships with both technical partners (Databricks, Microsoft, Google, AWS, Snowflake, etc.) and systems integrators (McKinsey, BCG, Slalom, Bain, Deloitte, Accenture, etc.)Collaborate with Sales to align with partners at our target accounts and develop deal strategies.Create comprehensive playbooks detailing how our go-to-market team engages with partners, document significant mutual victories, and formulate a repeatable process for future engagements.