Business Development Lead - AI Infrastructure

Hammerhead AI develops orchestration solutions that enhance power efficiency for artificial intelligence. The company’s platform upgrades data center power infrastructure, allowing AI token generation to be optimized within current electrical limits. This method helps avoid building new power plants or expanding the grid. Hammerhead AI has optimized more tha…

Hammerhead AI develops software that advances AI infrastructure by optimizing how data centers use power. The company’s platform manages power, cooling, and compute resources in real time, using reinforcement learning to help operators run more AI workloads without exceeding electrical or thermal limits. So far, Hammerhead AI has optimized over 8 gigawatts of critical power worldwide, reducing the environmental impact of large-scale computing. This team brings together expertise in AI, energy, and computing. Employees collaborate with specialists in reinforcement learning, IoT, and infrastructure, working toward more efficient and sustainable AI operations. The company values innovation in data center design and offers competitive compensation, equity, and benefits. Many team members have experience building and scaling successful startups. Role overview The Product Manager for the AI Infrastructure Platform leads the vision, roadmap, and execution for Hammerhead’s orchestration platform. This role defines product offerings, clarifies their purpose, and plans delivery for customers. The work involves translating technical details about data center power, cooling, and compute systems into actionable requirements for engineering and deployment teams. What you will do Own and communicate the product vision and roadmap for the AI Infrastructure Platform Define product features and clarify their value to customers Translate technical knowledge of power, cooling, and compute systems into clear requirements Work closely with reinforcement learning engineers, software teams, deployment, customer success, and go-to-market groups Ensure the platform delivers measurable value at every customer site What sets this role apart Work at the intersection of AI, energy, and computing Collaborate with experts in reinforcement learning and infrastructure Contribute to a more sustainable foundation for AI computing Join a team driving innovation in data center operations

Character.AI is seeking a Technical Program Manager to join the AI Infrastructure team in Redwood City, CA. This role centers on leading programs that advance the systems behind model development and serving, directly supporting rapid iteration and improved AI experiences for millions of users. The position involves working closely with engineering, research, and product teams to shape infrastructure strategies, coordinate project plans, and deliver on initiatives in training, evaluation, and inference. The Technical Program Manager role calls for someone who excels in technically complex environments, brings organization to ambiguous challenges, and can build consensus across different teams. Much of the work happens at the intersection of research and production, requiring careful navigation of trade-offs among speed, quality, and reliability. Success relies on influencing without formal authority, anticipating risks, and maintaining momentum on interconnected projects. What you will do Lead the planning and execution of major AI infrastructure projects, including training pipelines, data systems, model evaluation, and inference or serving workflows. Establish frameworks to keep teams aligned on scope, objectives, requirements, timelines, risks, and success metrics. Collaborate with engineering, research, and product groups to translate model and product needs into clear infrastructure roadmaps and priorities. Promote accountability and clear communication among teams responsible for related systems. Monitor infrastructure metrics such as reliability, latency, throughput, and cost efficiency, and prepare reports on progress and risks. Identify and resolve bottlenecks in workflows, improving tooling, automation, and developer productivity. Support capacity planning and resource management to ensure infrastructure scales with model and product growth. Develop scalable frameworks and operational practices to improve execution quality across infrastructure projects. Advise leadership on prioritization, sequencing, and trade-offs in infrastructure investments. Serve as the main point of contact with AI cloud service providers and coordinate between internal engineering teams and external partners.

Location: Redwood City, CA (Hybrid — 3 days/week in office)Our MissionAt Quilt, we are dedicated to transitioning humanity away from fossil fuel heating. An astounding 20% of the U.S. global warming emissions originate from homes, surpassing emissions from cars. The primary contributor to these emissions is the burning of fossil fuels for heating. To combat climate change, over 80 million homes in the U.S. must shift from combustion-based heating to efficient electric heat pumps in the coming decades.We believe that achieving this transition requires exceptional products that are easy to purchase and adopt. Currently, most heat pumps lack intuitive design, underutilize software, and present challenges during adoption. We are developing a next-generation home heating and cooling system that is not only aesthetically pleasing but also optimized by AI, outperforming existing solutions by a factor of ten.The ChallengeWhile AI agents can generate code at speeds 100 times faster than human developers, our primary bottleneck lies in code verification. At Quilt, we create software that operates on physical hardware within homes. A software bug could mean a family is left without heat. Our codebase encompasses embedded C++ for custom devices, cloud infrastructure, and mobile applications. Currently, much of our verification process relies on manual testing methods, such as physically visiting a test bench to execute tests.Our goal is to build a robust development factory that streamlines code verification.We are seeking a talented Software Engineer to lead our developer infrastructure initiatives. This includes developing simulators, test harnesses, CI/CD pipelines, and verification systems that empower our engineering team (and our AI agents) to deploy features quickly and confidently. Your contributions will be pivotal in enhancing the efficiency and reliability of our software development lifecycle.

Join Us at Box! Box (NYSE:BOX) stands as the premier provider of Intelligent Content Management solutions. Our innovative platform empowers organizations to enhance collaboration, securely manage content, and streamline business workflows utilizing enterprise AI. Since our inception in 2005, we have played a pivotal role in aiding top-tier global companies like JLL, Morgan Stanley, and Nationwide in navigating the evolving AI-first business landscape. Our headquarters are located in Redwood City, CA, with additional offices across the United States, Europe, and Asia. As a member of Box, you will be at the forefront of advancing our platform that transforms how work is conducted. Content is the lifeblood of business operations: from contracts and invoices to employee records and marketing assets. Our mission is to infuse intelligence into content management, allowing our clients to revolutionize their workflows. With the synergy of AI and enterprise content, the potential to reshape collaboration is unprecedented, and you will be instrumental in this transformative journey. Your Role at Box The Business Development team at Box is pivotal in forging partnerships and strategic initiatives that elevate our platform and drive growth. With Content + AI at the heart of our Intelligent Content Management platform, collaborations with hyperscaler ecosystems significantly enhance our reach and impact. We are on the lookout for a Principal Business Development Manager to spearhead and expand our strategic alliances with AWS, Google Cloud, and Microsoft. In this prominent role, you will be responsible for defining and executing partnership strategies, launching marketplace-driven go-to-market initiatives, shaping product integrations, and operationalizing joint business plans. You will work closely with Sales, Product, Solutions Engineering, Marketing, and Customer Success teams while engaging directly with partner and customer executives to unlock growth and innovation. Key Responsibilities Lead the strategy and execution for hyperscaler partnerships in alignment with Box’s go-to-market and corporate objectives. Develop and implement joint business plans that incorporate marketplace growth and co-sell initiatives. Create and scale co-sell strategies, private offer tactics, and marketplace programs to drive awareness and adoption.

Box Inc. is seeking an AI Partnerships Specialist to help shape and grow collaborations across the artificial intelligence sector. This position is based in Redwood City or San Francisco, California. Role overview This role centers on identifying new partners, developing strategic relationships, and supporting initiatives that use AI technologies to strengthen Box’s products and services. The AI Partnerships Specialist will work closely with internal teams and external organizations to move partnership projects forward. What you will do Identify and evaluate potential partners in the AI space Build and nurture strategic relationships with technology companies and organizations Drive projects and initiatives that incorporate AI into Box’s offerings Requirements Strong interest in technology and the evolving AI landscape Proactive approach to building relationships and driving results Experience or understanding of AI technologies and their business applications This position plays a key part in shaping Box’s AI strategy and ensuring partnerships deliver meaningful outcomes.

About DatologyAIAt DatologyAI, we believe that the quality of training data directly impacts the performance of AI models. Our innovative data curation suite is designed to optimize vast amounts of data, effectively reducing training time and costs, while enhancing model accuracy. With our cutting-edge technology, we enable models to achieve performance levels comparable to those trained on significantly larger datasets, all without escalating costs. Our recent successes in text models and image-text models reflect our commitment to innovation in machine learning.Backed by $57.5 million in funding from industry leaders such as Felicis Ventures, Radical Ventures, and Microsoft, our team consists of pioneers in data research and engineering. Our mission is to simplify how organizations train their models, making data curation accessible to all.This position is based in Redwood City, CA, where we foster a collaborative in-office culture four days a week.

Join Revolution Medicines, Inc. as a Global Development Lead (GDL) specializing in Clinical Development for Lung Cancer. In this pivotal role, you will oversee and guide the strategic direction of our clinical programs, ensuring the advancement of innovative therapies targeting lung cancer. As a leader in our global development team, you will collaborate with cross-functional teams to drive clinical trial strategies and execution, ultimately impacting patient outcomes.

About DatologyAIAt DatologyAI, we understand that models are only as good as the data they are trained on. A significant portion of training compute is often wasted on data that is redundant, irrelevant, or even detrimental, leading to subpar models that incur higher training and deployment costs. Our innovative data curation suite automates the curation and optimization of petabytes of data, ensuring that your models receive the best training data possible.Training on our curated data can lead to an astonishing reduction in training time and costs, making it possible to achieve 7-40x faster training depending on the specific use case. Moreover, it can enhance model performance as if you had utilized over 10x more raw data without escalating training costs. Our approach facilitates smaller models with fewer than half the parameters to outperform larger counterparts while using significantly less compute during inference, ultimately lowering deployment costs. For further insights, explore our recent blog posts on text models and image-text models.With a total of $57.5 million raised across two funding rounds, including Seed and Series A, our esteemed investors feature Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI pioneers like Geoff Hinton, Yann LeCun, and Jeff Dean. Our team stands at the forefront of this research domain, equipped with deep expertise in both data research and engineering, simplifying the data curation process for anyone aiming to train their model on their data.This position is located in Redwood City, CA, where we maintain an in-office presence four days per week.

About DatologyAIAt DatologyAI, we believe that the quality of training data is vital for the performance of AI models. Our innovative data curation suite is designed to automatically optimize petabytes of data, ensuring that your models are trained on the most relevant and effective datasets. By utilizing our curated data, users can experience training times that are 7-40 times faster and enhance model performance as if they had trained on more than 10 times the amount of raw data, all while reducing deployment costs significantly.With $57.5 million raised across two funding rounds, our esteemed investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and AI pioneers such as Geoff Hinton, Yann LeCun, and Jeff Dean. Our expert team is dedicated to simplifying the complex task of data curation, empowering anyone to train their models effectively on their own data.This position is located in Redwood City, CA, and we work in-office four days a week.

Join Revolution Medicines as the Global Development Lead (GDL) in Clinical Development, focusing on gastrointestinal cancers. This pivotal role will allow you to steer strategic initiatives, optimize clinical trial designs, and collaborate with cross-functional teams.As a GDL, you will be responsible for driving the clinical development strategy and execution, ensuring alignment with regulatory requirements and industry best practices. Your expertise will be instrumental in advancing our mission to deliver breakthrough therapies to patients.

About DatologyAIAt DatologyAI, we revolutionize the training of models by addressing the inefficiencies in data usage. Our innovative data curation suite optimally organizes and enhances petabytes of data, ensuring that your training processes are not only faster but also more efficient and cost-effective. Imagine achieving training speeds that are 7-40 times faster while enhancing model performance to levels that feel as if you’ve utilized over 10 times more raw data. Our approach enables smaller models with fewer than half the parameters to outperform their larger counterparts, significantly reducing deployment costs. Explore our latest insights on text models and image-text models.Backed by a total of $57.5M through Seed and Series A funding, our investors include industry leaders such as Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and Amazon, along with AI pioneers like Geoff Hinton and Yann LeCun. Our team is at the forefront of research in data optimization, combining expertise in both data science and engineering to simplify data curation for anyone aspiring to train their own models.This position is based in Redwood City, CA, where we embrace a collaborative in-office culture four days a week.

About UsAt GridCARE, we are at the forefront of revolutionizing the AI infrastructure landscape by addressing one of its most critical challenges: immediate access to power. As the demand for computing resources surges, the availability of energy has emerged as a crucial bottleneck in the AI race. While industry giants invest heavily in speculative, long-term solutions that may take decades to materialize, our pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in the existing electric grid. This innovative approach enables hyperscalers, data center developers, and utility companies to enhance their AI infrastructure far more quickly and without the need for costly upgrades.Founded at Stanford’s Doerr School of Sustainability and supported by top-tier climate-tech and deep-tech investors, GridCARE has created a world-class team that excels in power systems, AI, and infrastructure.Join us at GridCARE, where you will: Operate at the intersection of AI, energy, and infrastructure — the cornerstone of the next industrial revolution. Collaborate with hyperscalers, developers, and utilities on high-impact, real-world implementations. Contribute to shaping a more abundant, efficient, and resilient energy future for the digital age. Be part of a company pioneering a new category — capacity acceleration for AI. Enjoy competitive compensation, equity, and benefits within a dynamic, mission-driven work environment.Discover more about GridCARE:TechCrunch: GridCARE thinks more than 100 GW of data-center capacity is hiding in the gridUtility Dive: Portland General Electric invests in AI-powered flexibility to speed data-center connectionData Center Dynamics: From Years to Months — Creating an AI Fast Lane for Data Centers

About Hammerhead AIAt Hammerhead AI, we are pioneering the future of artificial intelligence through advanced orchestration that addresses critical challenges in AI's access to power. Our innovative platform enhances data center power infrastructure, enabling maximum AI token generation within existing electrical constraints, all without necessitating new power plants or grid extensions. With over 8 gigawatts of mission-critical power optimized globally, we are tackling a staggering $64 billion annual market opportunity while significantly lowering the environmental impact of AI infrastructure.As part of our team, you will: Engage at the forefront of AI, energy, and computing to shape the next generation of AI infrastructure. Collaborate with industry experts specializing in modern Reinforcement Learning (RL), AI, IoT, and IIoT technologies. Play a vital role in creating a more sustainable future for AI computing. Join a trailblazing company redefining modern data center design and operations. Enjoy competitive compensation, equity, and benefits within a high-growth, mission-driven environment. Gain insights from a seasoned team with a history of building and selling successful startups.

About the RoleWe are in search of experienced Machine Learning Infrastructure Engineers who excel at designing, constructing, and maintaining robust training and serving infrastructures for machine learning research initiatives.Key ResponsibilitiesDeliver comprehensive infrastructure support for our machine learning research and product development.Develop tools for diagnosing cluster issues and addressing hardware failures effectively.Oversee deployments, manage experiments, and provide ongoing support for our research activities.Optimize GPU allocation and utilization for both training and serving environments.QualificationsA minimum of 4 years of experience in supporting infrastructure within machine learning environments.Proven experience in creating diagnostic tools for ML infrastructure issues.Familiarity with cloud platforms, such as Compute Engine, Kubernetes, and Cloud Storage.Hands-on experience working with GPUs.Preferred QualificationsExperience managing large GPU clusters and high-performance computing/networking.Knowledge in supporting large language model training.Familiarity with machine learning frameworks like PyTorch, TensorFlow, or JAX.Experience in GPU kernel development.

Technical Program Manager - Customer DeploymentsLocation: Redwood City, CA (On-Site) • Full-TimeAbout Hammerhead AIAt Hammerhead AI, we are pioneering the next generation of AI infrastructure through intelligent orchestration. Our innovative platform tackles one of the most critical barriers to AI access to power, optimizing data center power infrastructure to maximize AI token generation within existing electrical limits, without necessitating new power plants or grid expansions. Our team has successfully optimized over 8 gigawatts of mission-critical power globally, addressing a $64 billion-per-year market opportunity while significantly reducing the environmental impact of AI infrastructure.Joining Hammerhead means: Engaging at the frontier of AI, energy, and computing to create next-gen AI infrastructure. Working alongside experts in modern reinforcement learning, AI, IoT, IIoT software, and infrastructure technologies. Contributing to a more efficient and sustainable future for AI compute. Being part of a company leading the way in modern data center design and operation. Enjoying competitive compensation, equity, and benefits in a mission-driven, high-growth environment. Learning from a seasoned team with a track record of building and selling successful startups.Role OverviewWe are in search of a Technical Program Manager - Customer Deployments who will take charge of the complete delivery process for our customer deployments. You will be the primary owner of our flagship projects, guiding Hammerhead's platform from contract signing to live production at client sites.Your role will bridge Hammerhead's engineering and product teams, our data center partners, and our clients. You will be responsible for program plans, milestone tracking, and delivering successful outcomes for our customers.

Join Team CATHEXIS, where we redefine the government contracting landscape through agile responses, unmatched expertise, and innovative problem-solving. Our core strengths lie in exceptional program and project management, data analytics, and audit services, all underpinned by our commitment to operational excellence.At CATHEXIS, we believe in continuous improvement—not just for our clients but for ourselves. We operate with a collaborative mindset, striving to create an environment that honors our collective values and individual aspirations. Our guiding principles emphasize integrity, accountability, mutual growth, and purposeful action in all our endeavors for employees, clients, partners, and communities. We understand that true success stems from empathetic leadership, high ethical standards, and fostering a workplace where creativity flourishes.We are actively seeking a passionate AI/ML Software Developer located in Redwood City, CA to enhance our team! In this role, you will collaborate with a talented group of engineers to develop cutting-edge AI applications. The ideal candidate will possess practical development experience with JavaScript, Python, or Java and demonstrate a collaborative spirit to tackle challenges creatively. If you are enthusiastic about delivering high-quality solutions, we want to hear from you!

About Hammerhead AIAt Hammerhead AI, we are pioneering the integration of artificial intelligence with intelligent orchestration, tackling the critical challenges surrounding AI accessibility to power. Our innovative platform enhances data center power infrastructure, enabling the maximization of AI token generation without the need for new power plants or grid expansions. With over 8 gigawatts of mission-critical power optimized globally, we are committed to addressing a $64 billion annual market opportunity while significantly reducing the environmental impact of AI infrastructure.As part of the Hammerhead team, you will: Innovate at the forefront of AI, energy, and computing to create the future of AI infrastructure Collaborate with top experts in reinforcement learning, AI, IoT, and IIoT software and infrastructure technologies Play a vital role in developing a more efficient and sustainable future for AI computing. Join a company leading the charge in modern data center design and operation Enjoy competitive compensation, equity, and benefits in a dynamic, mission-driven environment. Learn from a seasoned team with a proven track record in building and selling successful startups.

About Hammerhead AIAt Hammerhead AI, we are pioneering the future of artificial intelligence through innovative orchestration, tackling one of the most critical barriers to AI's power accessibility. Our state-of-the-art platform enhances data center power infrastructure to maximize AI token generation within existing electrical constraints, eliminating the need for new power plants or grid extensions. With our team already optimizing over 8 gigawatts of mission-critical power worldwide, we are seizing a $64 billion per year market opportunity while significantly reducing the environmental impact of AI infrastructure.As part of our dynamic team, you will: Engage at the confluence of AI, energy, and computing to create the next generation of AI infrastructure Collaborate with experts in modern reinforcement learning, AI, IoT, and IIoT software, as well as infrastructure technologies Play a vital role in fostering a more efficient and sustainable future for AI computation. Join a company at the forefront of advanced data center design and operations Enjoy competitive compensation, equity, and benefits in a thriving, mission-driven environment. Learn from a seasoned team with a proven track record of building and selling successful startups.Role OverviewAs a Reinforcement Learning Engineer, you will be the architect behind the core intelligence of Hammerhead’s ORCA platform. Reporting directly to the Head of AI/Reinforcement Learning Engineering, you will be responsible for designing, training, and deploying Orchestrated RL Control Agents that serve as the brain of our system, enabling real-time optimization of power and computational resources across physical data centers. This position is tailored for a hands-on expert passionate about translating advanced RL research into practical applications for complex industrial systems. You will play a crucial role in developing models to control physical assets such as cooling systems and power distribution units, driving substantial efficiency improvements in AI workloads.Key ResponsibilitiesDesign, train, and implement reinforcement learning algorithms for power and compute resource optimization.Develop and maintain RL models that interact with physical data center assets.Collaborate with cross-functional teams to integrate RL solutions into existing infrastructure.Continuously monitor and enhance the performance of deployed RL models.Stay abreast of the latest developments in reinforcement learning and AI technologies.

Company Overview:Dyna Robotics is at the forefront of the robotics revolution, creating versatile robots powered by our cutting-edge proprietary embodied AI foundation model. Our technology excels in generalization and self-improvement across diverse environments, delivering exceptional commercial-grade performance. With deployments spanning multiple industries, our frontier model stands as a leader in generalization and performance metrics.Founded by visionary entrepreneurs Lindon Gao and York Yang, who previously achieved remarkable success with Caper AI, alongside former DeepMind research scientist Jason Ma, Dyna Robotics has successfully raised over $140 million from top-tier investors like CRV and First Round. We are poised to redefine the robotic automation landscape, and we invite you to join us in shaping the future of AI-driven robotics!Discover more at dyna.coPosition Overview:We are on the lookout for a highly skilled Machine Learning Infrastructure Engineer to join our dynamic team. You will be instrumental in scaling our machine learning training platform, focusing on designing, implementing, and maintaining comprehensive ML infrastructure. Your expertise will accelerate model iteration and enhance training performance within our expansive GPU ecosystem. Engage with advanced high-performance computing systems, optimize distributed training environments, and ensure system reliability as we grow.