Hedra

THE ROLE As an Account Executive at Hedra, you'll drive growth by building relationships with the developers, technical founders, and enterprise teams building on our API and inference platform. You'll own the full sales cycle from prospecting to close, running a consultative process with technical buyers who care about latency, cost per deployment, model quality, and integration path. You'll work closely with our product and engineering teams to translate what customers need into where the platform goes next. Use cases span developer tooling and infrastructure, enterprise deployments, and media and creative workloads, so you'll be comfortable moving between a platform team integrating our API and a creative team pushing the limits of generation. Responsibilities - Drive the full enterprise sales cycle for both inbound and outbound opportunities, from prospecting through close. - Land and expand relationships with Fortune 100 brands, driving brand penetration across marquee enterprise accounts and turning early pilots into production deployments. - Sell a technical product to technical buyers, developers, ML and platform teams, and the leaders who sponsor them, and hold credible conversations about APIs, integration, latency, and deployment economics. - Develop account strategies and identify high-value use cases to grow customers beyond their initial deployment. - Track and measure the key metrics that drive engagement, expansion, and value creation. - Collaborate closely with product and engineering to win new business and surface unmet needs across existing and new customers. Qualifications - Minimum of 5 years securing new business in AI, developer tools, infrastructure, APIs, or a related technical field. - Proven track record of hitting sales goals and closing complex, multi-stakeholder deals, ideally including Fortune 100 or large-enterprise accounts. - Comfortable selling to developers and builders. You don't need to be an engineer, but you understand how technical teams evaluate and adopt an API or platform, and can earn their trust. - Excellent communication, presentation, and relationship-building skills. - Prior experience in startup environments spanning all aspects of the sales cycle. - Demonstrated curiosity about generative AI, world models, and the inference and infrastructure that make them usable. - BS or BA in business, marketing, a technical field, or equivalent experience. Who You Are - Self-motivated and independent: able to set ambitious (and yet accurate!) timelines and deliver on them. - Low ego, high patience, proactive communication. Strong opinions, weakly held. - Understand operational costs and overhead, short and long term, and how they show up in a customer's deployment economics. - And most importantly, treat Hedra as your own and help shape the vision with us. ABOUT HEDRA Hedra is a research and infrastructure lab building physical world models and the inference to deploy them at scale. Backed by top investors at Index, a16z, and Abstract Ventures, we've built the foundations for full-stack visual intelligence in the next era of AI. Today our API serves both first- and third-party models to production customers, and our agent works within a single workflow to create content from scratch, manipulate existing assets, critique its own outputs, and repurpose them on demand. We're scaling from frontier research into the infrastructure the rest of the industry will build on. We started by commercializing action-conditioned, real-time interactive video generation. We're now extending that foundation to the broader class of physical world models that perception, robotics, and media generation all run on. At Hedra, we're a team of hard-working, passionate individuals seeking to fundamentally change how visual intelligence gets built and deployed, and to build a generational company together. You should have startup experience and be a self-starter driven to build impactful products that change the status quo. The team is fully in-person in SF with a shared love of solving hard problems. About the Founder Michael Lingelbach (CEO) — Before taking a leave of absence to start Hedra, Michael was a PhD researcher in Stanford's Vision & Learning Lab, jointly advised by Fei-Fei Li and Jiajun Wu. He is co-first author on BEHAVIOR, a landmark embodied-AI benchmark, and has published at top conferences including CoRL, ICRA, and ICML (with a CoRL 2022 Best Paper nomination), with prior experience on NVIDIA robotics and simulation. He's a passionate cinephile, former thespian, and huge fan of Denis Villeneuve. Benefits - Competitive compensation and equity - Healthcare (Silver PPO Medical, Vision, Dental) - 401K - Lunch and snacks at the office We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team.

OVERVIEW: Hedra is building a world-class Physical AI research team to push the boundaries of action-conditioned world models and generative AI for physical systems. As a Researcher, you will drive original research into the intersection of generative modeling, embodied AI, and real-world physical applications alongside industrial partners. You will have access to large-scale compute, the freedom to pursue high-impact research directions, and a direct path to publication at top venues. We are looking for researchers who are excited to go beyond benchmarks and build models that operate in the real world — drawing on Hedra's leadership in generative modeling and the depth of our academic partnerships, including connections to Fei-Fei Li and the Stanford Vision & Learning Lab. RESPONSIBILITIES: - Define and lead research directions in action-conditioned world models, physical AI, and generative modeling for embodied systems - Design novel architectures, training objectives, and evaluation frameworks for VLMs, VLAs, and world models - Direct research efforts with the goal of publishing in top journals. - Partner with industrial collaborators to ground research in real-world physical AI use cases - Mentor research engineers and collaborate cross-functionally to move research into production - Stay at the frontier of the field — synthesizing relevant literature and identifying opportunities for impactful contributions - Contribute to Hedra's research culture and external scientific reputation QUALIFICATIONS: - PhD in Machine Learning, Computer Science, Robotics, or a related field, with publications at top ML or robotics venues - Deep expertise in generative modeling, world models, or vision-language(-action) models - Strong publication record at NeurIPS, ICML, ICLR, CVPR, CoRL, or equivalent venues - Experience with large-scale model training and modern deep learning infrastructure - Ability to independently drive research projects from ideation through publication - Background in embodied AI, robotic manipulation, or sim-to-real transfer is highly desirable - Experience with RLHF, DPO, or preference optimization for model alignment is a plus - Strong collaboration and communication skills — comfortable bridging research and applied teams BENEFITS: - Competitive compensation and equity - 401k (no match) - Healthcare (Silver PPO Medical, Vision, Dental) - Lunch and snacks at the office We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team.

OVERVIEW: Hedra is a pioneering generative modeling company — first models to market — now building a Physical AI team to bring these models to real-world industry and economy use cases. As a Research Engineer on our Physical AI team, you will lead pre-training and post-training on action-conditioned world models, working hand-in-hand with industrial partners to close the loop between generative AI and physical systems. This is not a black-box applied role: your work will be published, your infrastructure will be serious, and your impact will be direct. If you want to work at the frontier of generative modeling and physical AI, this is the team. RESPONSIBILITIES: - Design, implement, and run pre-training and post-training pipelines for action-conditioned world models and vision-language-action (VLA) models - Develop and refine training methodologies, including fine-tuning, reinforcement learning, and large-scale multimodal learning - Design and generate training and evaluation datasets from simulation, including environment setup, domain randomization, and sim-to-real transfer strategies - Build distributed training infrastructure using PyTorch, FSDP, and DeepSpeed - Work with multimodal data pipelines involving video, sensory inputs, and action sequences - Evaluate model performance using both benchmark datasets and real-world deployment metrics - Contributions research publications a plus - Collaborate with industrial partners to adapt generative models for real-world physical AI applications QUALIFICATIONS: - Experience with pre-training or post-training on large generative models (video, multimodal, or action-conditioned) - Hands-on proficiency with PyTorch and distributed training frameworks (FSDP, DeepSpeed) - Strong fundamentals in machine learning, optimization, and large-scale data processing - Familiarity with VLMs, VLAs, or world models - Background in robotics, embodied AI, or sim-to-real transfer is a plus - Experience with video understanding or temporal reasoning is a plus - BS/MS/PhD in Computer Science, Machine Learning, Robotics, or a related field BENEFITS: - Competitive compensation and equity - 401k (no match) - Healthcare (Silver PPO Medical, Vision, Dental) - Lunch and snacks at the office We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team.