Runware

Role Description We’re looking for a Technical Support Manager / Founding Support Lead to own technical support for developers and product teams using Runware’s AI inference platform. This role focuses on diagnosing and resolving technical issues, supporting API integrations, and acting as a key escalation point between customers, engineering, and upstream providers. The role is critical to maintaining platform reliability, customer trust, and a high-quality support experience at scale. In addition to hands-on technical support responsibilities, this person will play a key role in helping build and scale Runware’s support function. This role is ideal for someone who enjoys building systems and teams from scratch. Initially, the role will be highly hands-on, focused on customer support, technical investigations, and establishing scalable support processes. As the function grows, you will have the opportunity to help build and lead the support team. What You’ll Do - Act as the primary technical escalation point for customer issues related to APIs, platform behavior, reliability, and performance. - Investigate logs, metrics, traces, and customer reports to identify root causes and drive resolutions. - Work closely with Engineering, Product, Customer Success, and Partnerships to resolve issues and improve customer experience. - Communicate clearly with customers during incidents, escalations, and technical investigations. - Create and improve support documentation, troubleshooting guides, playbooks, and knowledge base content. - Identify recurring issues and drive improvements to tooling, processes, automation, and customer self-service. - Help establish support processes, escalation workflows, KPIs, and operational standards. - Contribute to hiring, onboarding, mentoring, and future growth of the support team. Qualifications - Experience in Technical Support, Support Engineering, Solutions Engineering, SRE, or similar technical customer-facing roles. - Strong troubleshooting and debugging skills, including APIs, JSON responses, HTTP errors, logs, and distributed systems. - Ability to independently investigate complex technical issues and collaborate closely with engineering teams. - Comfortable reading application code, understanding backend logic, and working with server-side technologies such as Java, PHP, Golang, Python, Node.js, or similar. - Strong written and verbal communication skills and the ability to manage multiple customer issues simultaneously. - High level of ownership and a track record of improving processes, documentation, or operational workflows. - Interest in helping build and eventually lead a growing support organization. Strong differentiators - Experience supporting AI/ML platforms, developer tools, APIs, infrastructure, or SaaS products. - Experience building or scaling support functions, processes, or teams. - Experience mentoring or managing technical support engineers. - Hands-on coding experience, ideally with full-stack development, allowing you to independently investigate issues, reproduce bugs, and better collaborate with engineering teams. - Comfortable discussing technical trade-offs involving performance, reliability, and scalability. - Experience working in distributed teams across multiple time zones. Tools & systems exposure - Support platforms: Zendesk, Intercom, Jira, Linear, GitHub Issues, or similar - Monitoring & debugging: Datadog, Grafana, logs, metrics, dashboards - Documentation: Notion, Confluence, GitHub Docs - APIs & developer tools: Postman, API debugging, JSON responses, HTTP status codes Time zone & location guidance We’re looking for coverage preferably outside Europe working hours, with 3–4 hours of overlap with the Europe team. We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap. Benefits - Generous paid time off – vacation, sick days, public holidays - Meaningful stock options – share in the upside you create - Remote-first setup – work from home anywhere we can employ you - Flexible hours – own your schedule outside core collaboration blocks - Family leave – paid maternity, paternity, and caregiver time - Company retreats – twice-yearly gatherings in inspiring locations

Role Description We’re looking for a Technical Support Manager / Founding Support Lead to own technical support for developers and product teams using Runware’s AI inference platform. This role focuses on diagnosing and resolving technical issues, supporting API integrations, and acting as a key escalation point between customers, engineering, and upstream providers. The role is critical to maintaining platform reliability, customer trust, and a high-quality support experience at scale. In addition to hands-on technical support responsibilities, this person will play a key role in helping build and scale Runware’s support function. This role is ideal for someone who enjoys building systems and teams from scratch. Initially, the role will be highly hands-on, focused on customer support, technical investigations, and establishing scalable support processes. As the function grows, you will have the opportunity to help build and lead the support team. What You’ll Do - Act as the primary technical escalation point for customer issues related to APIs, platform behavior, reliability, and performance. - Investigate logs, metrics, traces, and customer reports to identify root causes and drive resolutions. - Work closely with Engineering, Product, Customer Success, and Partnerships to resolve issues and improve customer experience. - Communicate clearly with customers during incidents, escalations, and technical investigations. - Create and improve support documentation, troubleshooting guides, playbooks, and knowledge base content. - Identify recurring issues and drive improvements to tooling, processes, automation, and customer self-service. - Help establish support processes, escalation workflows, KPIs, and operational standards. - Contribute to hiring, onboarding, mentoring, and future growth of the support team. Qualifications - Experience in Technical Support, Support Engineering, Solutions Engineering, SRE, or similar technical customer-facing roles. - Strong troubleshooting and debugging skills, including APIs, JSON responses, HTTP errors, logs, and distributed systems. - Ability to independently investigate complex technical issues and collaborate closely with engineering teams. - Comfortable reading application code, understanding backend logic, and working with server-side technologies such as Java, PHP, Golang, Python, Node.js, or similar. - Strong written and verbal communication skills and the ability to manage multiple customer issues simultaneously. - High level of ownership and a track record of improving processes, documentation, or operational workflows. - Interest in helping build and eventually lead a growing support organization. Requirements - Experience supporting AI/ML platforms, developer tools, APIs, infrastructure, or SaaS products. - Experience building or scaling support functions, processes, or teams. - Experience mentoring or managing technical support engineers. - Hands-on coding experience, ideally with full-stack development, allowing you to independently investigate issues, reproduce bugs, and better collaborate with engineering teams. - Comfortable discussing technical trade-offs involving performance, reliability, and scalability. - Experience working in distributed teams across multiple time zones. Tools & Systems Exposure - Support platforms: Zendesk, Intercom, Jira, Linear, GitHub Issues, or similar. - Monitoring & debugging: Datadog, Grafana, logs, metrics, dashboards. - Documentation: Notion, Confluence, GitHub Docs. - APIs & developer tools: Postman, API debugging, JSON responses, HTTP status codes. Time Zone & Location Guidance We’re looking for coverage preferably outside Europe working hours, with 3–4 hours of overlap with the Europe team. We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap. Benefits - Generous paid time off – vacation, sick days, public holidays. - Meaningful stock options – share in the upside you create. - Remote-first setup – work from home anywhere we can employ you. - Flexible hours – own your schedule outside core collaboration blocks. - Family leave – paid maternity, paternity, and caregiver time. - Company retreats – twice-yearly gatherings in inspiring locations.

Role Description We’re looking for a Technical Support Manager / Founding Support Lead to own technical support for developers and product teams using Runware’s AI inference platform. This role focuses on diagnosing and resolving technical issues, supporting API integrations, and acting as a key escalation point between customers, engineering, and upstream providers. The role is critical to maintaining platform reliability, customer trust, and a high-quality support experience at scale. In addition to hands-on technical support responsibilities, this person will play a key role in helping build and scale Runware’s support function. This role is ideal for someone who enjoys building systems and teams from scratch. Initially, the role will be highly hands-on, focused on customer support, technical investigations, and establishing scalable support processes. As the function grows, you will have the opportunity to help build and lead the support team. What You’ll Do - Act as the primary technical escalation point for customer issues related to APIs, platform behavior, reliability, and performance. - Investigate logs, metrics, traces, and customer reports to identify root causes and drive resolutions. - Work closely with Engineering, Product, Customer Success, and Partnerships to resolve issues and improve customer experience. - Communicate clearly with customers during incidents, escalations, and technical investigations. - Create and improve support documentation, troubleshooting guides, playbooks, and knowledge base content. - Identify recurring issues and drive improvements to tooling, processes, automation, and customer self-service. - Help establish support processes, escalation workflows, KPIs, and operational standards. - Contribute to hiring, onboarding, mentoring, and future growth of the support team. Qualifications - Experience in Technical Support, Support Engineering, Solutions Engineering, SRE, or similar technical customer-facing roles. - Strong troubleshooting and debugging skills, including APIs, JSON responses, HTTP errors, logs, and distributed systems. - Ability to independently investigate complex technical issues and collaborate closely with engineering teams. - Comfortable reading application code, understanding backend logic, and working with server-side technologies such as Java, PHP, Golang, Python, Node.js, or similar. - Strong written and verbal communication skills and the ability to manage multiple customer issues simultaneously. - High level of ownership and a track record of improving processes, documentation, or operational workflows. - Interest in helping build and eventually lead a growing support organization. Strong differentiators - Experience supporting AI/ML platforms, developer tools, APIs, infrastructure, or SaaS products. - Experience building or scaling support functions, processes, or teams. - Experience mentoring or managing technical support engineers. - Hands-on coding experience, ideally with full-stack development, allowing you to independently investigate issues, reproduce bugs, and better collaborate with engineering teams. - Comfortable discussing technical trade-offs involving performance, reliability, and scalability. - Experience working in distributed teams across multiple time zones. Tools & systems exposure - Support platforms: Zendesk, Intercom, Jira, Linear, GitHub Issues, or similar. - Monitoring & debugging: Datadog, Grafana, logs, metrics, dashboards. - Documentation: Notion, Confluence, GitHub Docs. - APIs & developer tools: Postman, API debugging, JSON responses, HTTP status codes. Time zone & location guidance We’re looking for coverage preferably outside Europe working hours, with 3–4 hours of overlap with the Europe team. We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap. Benefits - Generous paid time off – vacation, sick days, public holidays. - Meaningful stock options – share in the upside you create. - Remote-first setup – work from home anywhere we can employ you. - Flexible hours – own your schedule outside core collaboration blocks. - Family leave – paid maternity, paternity, and caregiver time. - Company retreats – twice-yearly gatherings in inspiring locations.

Role Description We’re hiring an Enterprise Account Executive, a key GTM hire responsible for owning complex sales cycles, closing strategic accounts, and helping define how Runware wins with AI-native and enterprise customers. This is a hunter-first role. Success will depend on your ability to create pipeline, generate demand, and win net-new business in a fast-moving AI market. You’ll work closely with founders, GTM leadership, Product, Engineering, and Solutions to move opportunities from initial engagement through technical validation, commercial negotiation, and close. 📍 Location: San Francisco Bay Area or the UK 🌍 Work setup: Fully remote, working from home within one of the supported locations above What You’ll Do - Pipeline Ownership & Deal Execution - Own the full sales cycle from prospecting and qualification through discovery, technical validation, negotiation, and close. - Build and manage a pipeline of enterprise and strategic accounts, generating opportunities through outbound prospecting, ecosystem engagement, referrals, events, partnerships, and other creative account strategies. - Prioritize and advance opportunities based on technical fit, urgency, product signals, and revenue potential. - Drive multi-threaded deal strategies across technical evaluators, business stakeholders, procurement, and executive sponsors. - Own quota and revenue outcomes across a defined set of strategic and enterprise accounts. - Customer Engagement & Solution Selling - Lead discovery conversations to understand technical requirements, infrastructure needs, commercial priorities, and decision criteria. - Run tailored demos and commercial conversations focused on performance, cost, reliability, and developer velocity. - Guide customers through benchmarks, proof-of-concepts, security reviews, pricing discussions, and rollout plans. - Translate complex AI infrastructure and API capabilities into clear business value. - Build relationships across the AI ecosystem and proactively identify emerging customer needs, use cases, and market trends. - Cross-Functional Collaboration - Work directly with founders and GTM leadership on strategic account planning and revenue goals. - Partner with Product and Engineering to coordinate evaluations, technical blockers, and customer feedback. - Collaborate with Marketing on events, campaigns, messaging, and case studies. - Maintain strong CRM hygiene, forecasting discipline, and pipeline reporting. Qualifications - 5+ years of experience in Account Executive, Enterprise AE, Strategic AE, or similar closing roles. - Proven success closing complex, multi-stakeholder deals involving technical products. - Strong preference for candidates with experience selling into AI-native companies, developer-focused organizations, or technical product teams. - Experience selling into fast-moving environments with technical buyers, usage-based economics, and product-led adoption motions. - Strong communicator, comfortable engaging executive, technical, procurement, operational, and engineering stakeholders. - Ability to build credibility with technical buyers and product teams. - Strong discovery, qualification, forecasting, negotiation, and close-planning skills. - High-agency mindset with the ability to create momentum and thrive in ambiguous startup environments. - Genuine interest in AI, developer workflows, infrastructure, and emerging technologies. Requirements - Particularly Relevant Backgrounds - AI infrastructure and AI-native platforms. - Developer tools and APIs. - Cloud, data, and MLOps platforms. - Technical SaaS sold into engineering, product, or developer teams. - This is not a role for a first-time enterprise ($100K+ ARR) seller. Who Thrives at Runware - Builders who enjoy creating opportunities rather than inheriting them. - Sellers who learn technical products quickly. - People who are naturally curious about AI and emerging technologies. - Operators who move fast, create urgency, and take ownership. - Candidates who enjoy startup environments with high autonomy and low bureaucracy. Nice to Have - Experience selling developer tools, APIs, AI/ML platforms, or infrastructure products. - Familiarity with image, video, or multimodal AI workflows. - Experience as an early GTM hire or member of a founding sales team. - Experience closing six-figure or strategic platform deals. - Existing network in the Bay Area, UK startup ecosystem, or AI ecosystem. Benefits - Generous paid time off – vacation, sick days, public holidays. - Meaningful stock options – share in the upside you create. - Remote-first setup – work from home anywhere we can employ you. - Flexible hours – own your schedule outside core collaboration blocks. - Family leave – paid maternity, paternity, and caregiver time. - Company retreats – twice-yearly gatherings in inspiring locations.

• Own end-to-end inference performance across the platform, with clear responsibility for latency, throughput, and reliability targets • Lead the architecture and design of core inference systems, including request routing, async execution, queuing, GPU scheduling, and result delivery • Drive the platform toward sub-1 second inference where feasible, identifying bottlenecks across networking, services, storage, and GPU execution • Make high-impact architectural decisions with performance, scalability, and operational simplicity as first-class concerns • Partner with ML and model teams to ensure models are production-ready from a performance perspective (cold starts, batching, memory usage, concurrency) • Define performance budgets, SLAs, and success metrics, and ensure they are measured, visible, and actively improved • Lead deep-dive investigations into latency spikes, throughput degradation, and system-level performance issues • Influence and mentor engineers across teams on performance engineering, distributed systems thinking, and operational excellence • Improve tooling, observability, and profiling capabilities to make performance issues easier to detect and reason about • Advocate for pragmatic engineering best practices around testing, benchmarking, rollouts, and documentation

Role Description We’re looking for a Staff Engineer to take technical ownership of latency, throughput, and reliability across Runware’s AI inference platform. This is a senior technical leadership role for someone who obsesses over performance at scale, from request ingress through GPU execution to result delivery, and who can consistently turn ambitious targets such as sub-one-second inference into production reality. As a Staff Engineer, you will define and drive the architecture, standards, and execution needed to make Runware one of the fastest and most reliable inference platforms in the market. You will work deeply across backend services, distributed systems, GPU workloads, and infrastructure, partnering closely with product, ML, and platform teams. This role is ideal for someone who enjoys operating at the intersection of systems design, performance engineering, and real-world scale, and who wants clear ownership over outcomes that matter directly to customers. - Own end-to-end inference performance across the platform, with clear responsibility for latency, throughput, and reliability targets - Lead the architecture and design of core inference systems, including request routing, async execution, queuing, GPU scheduling, and result delivery - Drive the platform toward sub-1 second inference where feasible, identifying bottlenecks across networking, services, storage, and GPU execution - Make high-impact architectural decisions with performance, scalability, and operational simplicity as first-class concerns - Partner with ML and model teams to ensure models are production-ready from a performance perspective (cold starts, batching, memory usage, concurrency) - Define performance budgets, SLAs, and success metrics, and ensure they are measured, visible, and actively improved - Lead deep-dive investigations into latency spikes, throughput degradation, and system-level performance issues - Influence and mentor engineers across teams on performance engineering, distributed systems thinking, and operational excellence - Improve tooling, observability, and profiling capabilities to make performance issues easier to detect and reason about - Advocate for pragmatic engineering best practices around testing, benchmarking, rollouts, and documentation Qualifications - Excellent experience in software engineering, with a strong focus on backend and systems development (PHP, Python, Go, Rust, or similar) - Proven experience building and operating high-performance, low-latency distributed systems in production - Deep understanding of asynchronous processing, queues, concurrency models, and back pressure - Strong intuition for performance trade-offs across CPU, GPU, networking, storage, and application layers - Experience making and defending critical architectural decisions in complex systems - Hands-on experience troubleshooting real production issues under load (latency, saturation, cascading failures) - Familiarity with modern cloud infrastructure, CI/CD, and observability stacks (metrics, tracing, profiling) - Ability to communicate clearly and influence across teams in a remote-first environment - Strong mentorship mindset and a desire to raise the technical bar across the organisation Requirements - Experience working on AI/ML inference platforms, GPU-backed workloads, or performance-critical compute systems - Knowledge of model optimisation techniques (batching, quantisation, warm-starts, memory management) - Experience with infrastructure-as-code and DevOps practices - Background in startups or fast-paced environments where speed, ownership, and pragmatism matter - Prior ownership of latency or throughput SLOs at scale Benefits - Generous paid time off – vacation, sick days, public holidays - Meaningful stock options – share in the upside you create - Remote-first setup – work from home anywhere we can employ you - Flexible hours – own your schedule outside core collaboration blocks - Family leave – paid maternity, paternity, and caregiver time - Company retreats – twice-yearly gatherings in inspiring locations

Role Description Join Runware as a Senior Machine Learning Engineer and be at the forefront of developing innovative AI solutions across various media modalities including text, image, video, 3D, and audio. We're building a powerful AI media creation platform designed to revolutionize how content is generated. As a Senior Machine Learning Engineer, you’ll take the lead on critical projects, guiding the end-to-end lifecycle from research and experimentation to production deployment and performance monitoring. Your work will help shape the capabilities of our platform and enhance the experiences of users who rely on our cutting-edge AI technologies. What You'll Be Doing - Integrate open-source and third-party models into our inference platform - Lead fine-tuning initiatives (LoRA, adapters, PEFT, domain adaptation) - Optimise inference workloads for latency, batching, memory efficiency, and throughput - Benchmark model quality vs cost vs performance across modalities - Improve inference startup times and stability under high load - Build evaluation frameworks and internal tooling for model validation - Work closely with Infrastructure and Backend teams on scalable serving systems - Monitor production performance and drive continuous optimisation - Mentor engineers and help raise the ML engineering bar across the team Qualifications - Proven experience delivering ML systems to production environments - Strong, low-level Python skills and deep hands-on experience with PyTorch - Experience working with diffusion models, LLMs, or multimodal architectures - Practical experience fine-tuning large models (LoRA, PEFT, adapters, etc.) - Experience optimizing inference workloads in GPU environments - Strong understanding of model evaluation, experimentation, and monitoring - Ability to debug performance, memory, and reliability issues in production - Strong systems thinking understanding how ML decisions impact infrastructure - High ownership and comfort operating in a fast-paced startup environment Requirements - Experience with vLLM or custom inference servers - Experience with Kubernetes or containerised ML workloads - Experience working in high-throughput distributed systems - Background in AI media generation (image, video, audio) - Experience building internal ML tooling or developer-facing APIs - Experience with kernels in CUDA/C++ Benefits - Generous paid time off – vacation, sick days, public holidays - Meaningful stock options – share in the upside you create - Remote-first setup – work from home anywhere we can employ you - Flexible hours – own your schedule outside core collaboration blocks - Family leave – paid maternity, paternity, and caregiver time - Company retreats – twice-yearly gatherings in inspiring locations

• Own and negotiate strategic model-provider relationships: Manage and deepen relationships with the leading generative media model providers - spanning frontier labs, generative media model creators, open-source communities, audio and 3D model providers, and inference infrastructure partners. Our current ecosystem includes partners such as Google, OpenAI, Black Forest Labs, ElevenLabs, Luma AI, ByteDance, Runway, and Ideogram, among many others across image, video, audio, and 3D modalities. You will own the full commercial relationship end-to-end and maintain strong visibility into partner roadmaps, launches, pricing changes, model capabilities, and strategic opportunities. • Negotiate best-in-market commercial terms: Lead negotiations on pricing, volume commitments, credits, preferred access, support levels, SLAs, roadmap visibility, co-marketing, launch support, enterprise terms, and non-standard strategic deal structures. • Turn partnerships into business value: Identify and execute opportunities that improve product capabilities, reduce costs, improve margins, accelerate model launches, enhance customer experience, or differentiate Runware in the market. • Coordinate across internal teams: Act as the connective tissue between model providers and Product, Engineering, Sales, Marketing, Finance, Legal, and leadership. Coordinate product evaluation, integration handoffs with Product and Engineering, customer messaging, sales enablement, finance modeling, and legal/commercial review. • Maintain AI market intelligence: Track new model releases, benchmark shifts, pricing changes, context-window improvements, multimodal capabilities, latency and reliability tradeoffs, enterprise terms, ecosystem moves, and competitor access. Convert this information into clear internal updates and recommendations. • Drive partner-led launches on the commercial side: Coordinate timing with model creators, secure preferred or exclusive access, align launch narratives across Marketing and Sales, partner with Product and Engineering on the integration build, and ensure launches translate into measurable pipeline impact. • Support GTM and customer communication: Help Sales and Marketing translate model-provider updates into customer-facing value, launch narratives, partner comparison notes, competitive positioning, sales enablement, and customer-ready messaging. • Build a scalable partnership operating rhythm: Create and maintain partner account plans, executive relationship maps, QBRs, negotiation trackers, pricing and terms databases, launch calendars, model-update summaries, escalation paths, and partnership performance reporting.

Role Description Runware is looking for a Senior Partnerships Manager to own and scale our strategic relationships with the world’s leading AI model providers. This person will ensure we have the strongest possible commercial terms, roadmap visibility, product access, market insights, and strategic value from our model-provider ecosystem. They will be the central owner for model-provider partnerships and will work closely with Product, Engineering, Sales, Marketing, Finance, and Legal to turn external AI partnerships into measurable business value. This is a senior, cross-functional commercial role for someone who is an excellent negotiator, a trusted relationship-builder, and a fast learner in a rapidly changing AI market. The ideal candidate can build deep relationships externally, negotiate hard commercially, and translate model-provider capabilities into internal product decisions, customer-facing value, and improved unit economics. What You’ll Do - Own and negotiate strategic model-provider relationships: Manage and deepen relationships with leading generative media model providers, including Google, OpenAI, Black Forest Labs, ElevenLabs, Luma AI, ByteDance, Runway, and Ideogram. - Negotiate best-in-market commercial terms: Lead negotiations on pricing, volume commitments, credits, preferred access, support levels, SLAs, roadmap visibility, co-marketing, launch support, enterprise terms, and non-standard strategic deal structures. - Turn partnerships into business value: Identify and execute opportunities that improve product capabilities, reduce costs, improve margins, accelerate model launches, enhance customer experience, or differentiate Runware in the market. - Coordinate across internal teams: Act as the connective tissue between model providers and Product, Engineering, Sales, Marketing, Finance, Legal, and leadership. - Maintain AI market intelligence: Track new model releases, benchmark shifts, pricing changes, context-window improvements, multimodal capabilities, latency and reliability tradeoffs, enterprise terms, ecosystem moves, and competitor access. - Drive partner-led launches on the commercial side: Coordinate timing with model creators, secure preferred or exclusive access, align launch narratives across Marketing and Sales, and partner with Product and Engineering on the integration build. - Support GTM and customer communication: Help Sales and Marketing translate model-provider updates into customer-facing value, launch narratives, partner comparison notes, competitive positioning, sales enablement, and customer-ready messaging. - Build a scalable partnership operating rhythm: Create and maintain partner account plans, executive relationship maps, QBRs, negotiation trackers, pricing and terms databases, launch calendars, model-update summaries, escalation paths, and partnership performance reporting. Qualifications - 7+ years of experience in strategic partnerships, business development, partner management, commercial strategy, enterprise sales, vendor management, or a related role. - Strong track record negotiating complex commercial agreements with strategic partners, vendors, platforms, infrastructure providers, SaaS companies, cloud providers, API companies, or technology ecosystems. - Excellent commercial judgment, including the ability to evaluate pricing, usage commitments, deal structures, margin impact, and long-term strategic value. - Proven ability to work cross-functionally with Product, Engineering, Sales, Marketing, Finance, Legal, and executive stakeholders. - Strong communication skills, with the ability to simplify complex technical and commercial information for different audiences. - High ownership, strong follow-through, structured execution, and comfort operating in a fast-moving, ambiguous market. Requirements - Experience in AI, machine learning, cloud infrastructure, developer platforms, API businesses, SaaS, data infrastructure, or enterprise software. - Understanding of the AI model ecosystem: frontier labs, open-source models, inference providers, multimodal models, model pricing, latency, context windows, enterprise deployment needs, and AI application architecture. - Technical fluency sufficient to discuss model performance, API capabilities, inference requirements, context windows, multimodality, fine-tuning, evaluation, latency, reliability, and model launches. - Prior experience negotiating with large technology vendors, cloud providers, platform partners, or strategic ecosystem partners. - Experience building partner programs, partner operating cadences, QBRs, partner scorecards, or executive-level relationship maps. Benefits - Generous paid time off – vacation, sick days, public holidays. - Meaningful stock options – share in the upside you create. - Remote-first setup – work from home anywhere we can employ you. - Flexible hours – own your schedule outside core collaboration blocks. - Family leave – paid maternity, paternity, and caregiver time. - Company retreats – twice-yearly gatherings in inspiring locations.

- Define and execute Runware’s **hardware and compute infrastructure strategy**. - Own the **GPU procurement and supply strategy**, including relationships with vendors and hosting providers. - Design and optimize **server and datacenter infrastructure** supporting AI inference workloads. - Evaluate and negotiate partnerships with **datacenter providers, GPU vendors, and infrastructure partners**. - Work closely with engineering teams to ensure infrastructure supports evolving product and model requirements. - Drive **cost/performance optimization** across hardware deployments. - Lead **capacity planning** to support rapid company growth and global infrastructure expansion. - Monitor industry trends across **GPU hardware, AI infrastructure, and datacenter innovation**. - Support the deployment of infrastructure across multiple regions and providers. - Help build the long-term roadmap for Runware’s **global compute platform**.