Scaled Partnerships Manager in United States

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. The Corporate Controller builds a trusted global accounting function that scales with the company. Success means predictable closes, trusted balance sheets, documented accounting positions, well-managed audits, embedded controls, managed risks, clear ownership, strong talent, and less manual work. The mission for this role is to build an accounting organization that the company can trust and that will not need to be rebuilt every time the company scales. This role is remote, based out of the United States. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Senior accounting leader with deep technical judgment and strong operational discipline. 15+ years leading accounting or controllership teams in complex organizations. CPA or equivalent, with deep US GAAP and financial reporting expertise. Experienced in technology, semiconductor, hardware, manufacturing, or similar environments. Skilled at scaling teams, controls, systems, and processes through rapid growth. What We Need Lead a global accounting organization with clear ownership and high standards. Own monthly, quarterly, and annual close quality, speed, and predictability. Set accounting pol

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a Director of Accounting Operations to lead and scale the company’s core accounting operations function. This leader will build a disciplined, accurate, audit-ready, and scalable organization that can support rapid growth, global expansion, increasing transaction complexity, and future public-company requirements. In this role, you will oversee day-to-day accounting operations across AP, AR, payroll accounting, fixed assets, accruals, reconciliations, and close operations while partnering across global finance functions. This role is hybrid, based out of Santa Clara,CA; Austin,TX; Boston, MA; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An experienced accounting operations leader who thrives in fast-paced, high-growth environments and brings strong technical accounting judgment, operational discipline, and a builder’s mindset. Equally comfortable solving detailed accounting issues and designing scalable processes, systems, and controls, with a strong foundation in US GAAP, close, reconciliations, accruals, AP, AR, payroll accounting, fixed assets, internal controls, and audit support. Able to tell wha

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a senior High Speed Interconnect / Signal Integrity Engineer to design and validate high-bandwidth links for large-scale AI systems. You will define, model, and qualify interconnect solutions across copper and optical technologies for next-generation AI inference and training clusters. This role is on-site in Santa Clara, CA, Austin, TX, or Toronto, Canada. We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting Who You Are An experienced electrical engineer with a Bachelor’s or Master’s in Electrical Engineering. 5+ years working on high-speed communications (100G–1.6T), including signal integrity, channels, and links. Comfortable building and owning link and channel budgets and making clear tradeoffs between reach, loss, BER, and margin. Hands-on with SI tools and lab equipment such as Keysight ADS, VNAs, TDRs, BERTs, and protocol analyzers. Familiar with cable specification and testing, as well as accelerated life testing, mating life, and failure analysis. Able to collaborate across hardware, systems, and manufacturing teams; manufacturing/DFM/DTM experience is a plus. What We Need Define and specify high-speed interconnect architectures

Graphcore Director-Post Silicon Validation (Functional) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, Texas which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms. You will play a key role in supporting new product introductions and validation. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Working within the Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. Th

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a best-in-class family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from a diverse group of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams. The Team The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms. Responsibilities and Duties Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness. Own execution against program achievements and report validation progress and risks. Triage test failures, collect debug data, and collaborate on root cause analysis. Track

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for a strategic and execution-oriented Senior Director, Revenue Operations to lead and scale the operational backbone of our B2B organization. Sitting within B2B Operations, this role will own the strategy, architecture, and optimization of our revenue systems, processes, and analytics across Sales, Customer Success, and Marketing. You will serve as a key partner to B2B leadership, driving operational rigor, scalable infrastructure, and data-driven decision-making to accelerate revenue growth. You will define the roadmap for revenue systems, lead cross-functional initiatives, and build the foundation for long-term scale. What you'll do: Define and execute the B2B Revenue Operations roadmap in alignment with C1 growth objectives Act as a strategic partner to B2B leadership on forecasting, pipeline health, performance metrics, and operational investments. Establish scalable processes that improve conversion, velocity, forecasting accuracy, and revenue predictability at scale. Lead the redesign of Salesforce to support complex B2B sales motions, with hands-on responsibility for system configuration, reports, and dashboards Architect and optimize the full revenue tech stack (Salesforce, Outreach, ZoomInfo, HubSpot, Gong, LinkedIn Sales Navigator, etc.) Maintain data quality (deduplication, enrichment, normalization), build and evolve reporting frameworks, and troubleshoot integration issues across the revenue tech stack when they arise. Create and maintain internal documentation, runbooks, and training materials; support enabl

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As a Solutions Engineer, you will be responsible for ensuring our customers successfully integrate with the CLEAR1 platform, with a focus on our Healthcare vertical. You will work across the Growth, Product, and Engineering teams to develop a deep understanding of the problems our customers are facing and influence how we’re building our platform for scale. We’re looking for a candidate with an excellent technical background who is looking to have a direct impact on customer and developer experiences. What you'll do: Lead presales customer engagements, including technical discovery, product demos, use case demos, RFPs, solution and integration scoping, and proof-of-concepts Drive customer integration for enterprise-level customers including building reference applications, prototypes, and architecture diagrams Develop code samples, integrations, and applications to demonstrate best practices and minimize customer development time, across a variety of languages and frameworks Support customers throughout the presales, proof of concept, and integration processes, assisting with common coding issues and patterns or troubleshooting Creating and maintaining public and internal documentation to help scale the team Act as the internal and external expert in the integration and usage of the CLEAR identity platform Collaborate across Sales, Product and Engineering to ensure that CLEAR strategically incorporates customer feedback and new product features into our roadmap Stay up-to-date with the latest trends and developments in the Health

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As a Senior Fullstack Software Engineer on CLEAR’s Healthcare team, you will build and scale secure, interoperable identity and data solutions that connect patients, providers, and partners. You’ll operate at the intersection of modern web platforms, healthcare interoperability standards, and high-assurance identity systems powering frictionless, trusted healthcare experiences nationwide. A brief highlight of our tech stack: Python / React / Typescript AWS cloud What you’ll do: Design and deliver secure, scalable fullstack solutions that integrate with enterprise EHR systems and national health information exchange frameworks Build and maintain healthcare data integrations leveraging FHIR (RESTful APIs/JSON) and HL7 v2 messaging to enable compliant, real-time data exchange Develop identity resolution and patient matching capabilities using identifiers such as MRNs and NPIs to ensure integrity across disparate clinical systems Partner with Engineering, Security, Product, and Health Information Management teams to implement compliant, audit-ready workflows for regulated healthcare processes Collaborate with external vendors (e.g., Epic Technical Services) to troubleshoot integration issues, manage deployments across TST/PRD environments, and ensure production reliability How you’ll measure success: Successful delivery and stability of FHIR/HL7 integrations across healthcare partners Reduction in data integrity issues related to patient matching and identity resolution High system uptime and successful production deployments across tiered

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. The Senior Manager, Operations Program Strategy will build and lead the operating system that enables CLEAR’s field organization and Aviation leadership team to execute consistently and scale effectively. You’ll own the standards, program governance, strategic planning, initiatives organization, and change management that connect Central Operations with the field—ensuring programs are ready before launch, priorities stay aligned, and change lands successfully across all Aviation programs. What you'll do: Drive Central Operations strategic planning and rhythms of business, including OKRs, program management, Monthly Business Reviews, annual planning and budgeting, and cross-functional strategic initiatives Build and lead CLEAR’s Operations change management and field communications framework, ensuring changes are thoughtfully planned, clearly communicated, appropriately sequenced, and consistently executed across a distributed field organization and leadership team Define and maintain CLEAR’s field operating standards, including SOPs, role expectations, quality assurance frameworks, and accountability measures across the field organization Lead program governance for Operations, establishing clear stage gates, readiness criteria, launch requirements, feedback loops, and field intake processes that enable successful execution of new programs and initiatives Serve as the integration point across Aviation programs, aligning cross-functional stakeholders and sequencing field-facing priorities to create a consistent operating experienc

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

SUMMARY STATEMENT We are looking for a Solution Architect to design the technical solutions behind our client engagements and give delivery teams a clear, workable path from concept to production. You will work across enterprise data, software applications and GenAI - translating complex business problems into practical architectures that delivery teams can build and scale. This could include architecting an agentic workflow for clinical operations, a conversational analytics product grounded in enterprise data, or an AI-enabled decision platform for commercial teams. You will work directly with clients, define the architecture, test the most important technical decisions yourself and establish the foundations for successful delivery. This is an architecture-first role with meaningful hands-on engineering: you will stay close enough to implementation to prove the architecture works and support it through production delivery, without becoming the primary engineer for every component. You will also help shape the reusable patterns, technical standards and accelerators behind Lynx’s growing AI-native life sciences practice. KEY RESPONSIBILITIES Solution Architecture Own the end-to-end solution architecture for client engagements, including data models, system design, integration patterns and technology choices. Translate business requirements into clear technical designs and implementation paths that delivery teams can build from. Design solutions spanning enterprise data, APIs, applications, cloud platforms and GenAI capabilities. Lead technical discovery with clients: understand requirements, assess existing systems and identify dependencies, constraints and delivery risks. Present architectural options and trade-offs clearly to technical teams, business stakeholders and senior leaders. Make pragmatic decisions across build speed, cost, scalability, security and maintainability. Review key implementation decisions and remain

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role Modal's LLM inference platform delivers frontier performance for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots and multi-cloud substrate . We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area. This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direct

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders About the Role We're hiring the first Account Managers at Modal. You'll report to the Regional Director of Account Management and be a founding member of the team. This function does not exist yet. There is no playbook, no territory map, no established motion. You'll own a book of business from day one and build the motion at the same time — from fast-moving AI startups to large enterprise teams running critical infrastructure on Modal. This is a commercial role with a revenue target. You'll be measured on retention and expansion across your accounts. While you won't be delivering the technical recommendations and implementation, the work is technical by nature. Our customers are engineers running GPU workloads, inference, and batch jobs in production, and you need to hold your own in those conversations. The profile we're hiring is a technical account manager. You've worked at companies that are deepl

About the Team The GTM Enablement team helps OpenAI’s customer-facing organizations turn rapidly evolving AI capabilities into consistent, high-quality customer outcomes. We build the onboarding, learning experiences, playbooks, and knowledge systems that help teams develop technical depth, stay current, and confidently guide customers through successful AI adoption. About the Role We’re hiring a Field Enablement Lead, Technical Success to design and scale enablement for our rapidly growing technical customer-facing teams. You will own programs spanning onboarding, continuous skill development, technical pitches and demos, and subject-matter-expert knowledge sharing. Working closely with Technical Success leaders, Product Enablement, and technical SMEs, you will turn complex product knowledge and field experience into practical systems that improve readiness, consistency, and the quality of customer interactions and deployments. In this role, you will: Design, implement, and scale comprehensive enablement programs aligned to Technical Success onboarding, role-based skill development, and ongoing readiness needs. Redefine and operate the Subject Matter Expert (SME) program, creating clear pathways for technical experts to share knowledge and raise technical depth and consistency across GTM. Own and proactively maintain a versioned repository of technical pitches, demos, playbooks, and launch-ready assets. Partner with Technical Success leadership, Product Enablement, and product SMEs to identify skill gaps and deliver targeted learning interventions. Capture, vet, organize, and make field- and SME-generated technical content easy to discover, trust, and reuse. You might thrive in this role if you have: 5+ years of experience in technical enablement, solutions engineering, solutions architecture, technical success, or a related role. A proven track record of designing and scaling technical enablement programs in high-growth SaaS or technology environments. Exceptional

About the Team The Consumer Devices team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, cloud services, mechanical engineering, electrical engineering, and product design to deliver reliable, production-ready devices at scale. Within Consumer Devices, Hardware Engineering eXperience, or HEX, is a new bootstrapped team building the environments, applications, compute, product-data systems, and workflows that let hardware engineers do their work without needing to troubleshoot the machinery underneath. HEX owns virtual engineering environments, HPC/GPU compute, storage, networking, licensing, MCAD/ECAD/CAE applications, PLM, product data, automation, validation, and support as one connected system. About the Role As a Staff PLM & Engineering Applications Engineer, you will be one of the first technical builders of HEX and the primary counterpart to the HEX lead. You will own the engineering-application and product-data side of the hardware engineering experience, with an initial focus on NX, Teamcenter, licensing, parts import, integrations, packaging, validation, and user workflows. This is not a traditional Teamcenter administration role and not a Corporate IT application-support role. You will take complex, fragile workflows and turn them into reliable engineering systems. This role is highly hands-on and systems-oriented. You will not inherit a mature environment and support queue. You will help build a fresh one, replacing manual setup guides, tribal knowledge, repeated support issues, and team handoffs with tested automation and reliable workflows. In This Role, You Will Own the technical architecture, deployment, configuration, integration, validation, and long-term operation of NX and Teamcenter. Build reliable workflows for parts import, product-data migration, metadata quality, BOMs, revisions, lifecycle states, and releas