Employer profile
Hedra
6 open roles indexed with location, benefit, and apply-link signals where available.
Open roles
Showing the most recent indexed roles for this employer.
-
Product Marketer (Content)
San Francisco, California, United States
unspecified $140K-$190KProduct Marketer (Content) San Francisco, California, United States About the Role We are looking for a narrative-driven Product Marketer to become the voice of our product. In this role, you won't just write copy; you will own our end-to-end written content strategy across our most critical channels. You will sit at the intersection of product, marketing, and community, translating complex capabilities into compelling, value-driven stories. An obsession with AI is a must for this role. Whether you have a proven track record of writing about AI technologies, or you are an avid AI power-user with a fierce intellectual curiosity for the space, you will be responsible for diving deep into AI research and making it accessible and exciting for our audience. Key Responsibilities Social Media & Community Ownership - Content Creation: Own the ideation, writing, and execution of all social media content (captions, threads, posts) across our active platforms. - Engagement Strategy: Develop and execute a strategic commenting/community engagement framework to increase brand visibility and thought leadership. - Trend Jacking: Keep a pulse on industry trends, specifically AI advancements and tech shifts to ensure our social content remains relevant, timely, and authoritative. Email Marketing & Editorial Content - Weekly Newsletter: Own the strategy and execution of our weekly email campaigns from scratch. - Deep-Dive Writing: Synthesize complex concepts into highly engaging content, including breaking down AI research articles, drafting customer case studies, and exploring industry-specific use cases. - Audience Segmentation: Ensure email content speaks directly to the pain points of
-
Staff Growth Engineer
San Francisco, California, United States
unspecified Salary not disclosedStaff Growth Engineer San Francisco, California, United States Summary: Growth at Hedra is yours to run. As the founding member of our Growth team, you'll own the work that moves the numbers - sign-ups, activation, conversion, retention, revenue - and build the infrastructure that lets us test and ship faster than anyone else. We already get tens of thousands of organic visitors every day. Your job is to turn them into happy retained customers. That includes the hard parts of monetization: tiered pricing, usage-based billing, payment flows, subscription logic. You'll set technical direction for the team, coach other engineers on how to run experiments without fooling themselves, and decide when something deserves a real test versus when to just commit and move on. You'll know when the metric is lying, when to trust your gut, and when to keep digging. You'll be the person who spots the 10x opportunity buried in a dashboard nobody else read carefully enough. We're in the office 5 days a week in San Francisco. We get more done in the same room, and we like it that way - though working from home when you need deep focus is fine. What you'll actually do - Architect the growth stack: experimentation platform, analytics pipelines, feature flags, credits system - Ship the monetization surface area - pricing tiers, usage metering, checkout, subscriptions - Call the technical shots on growth bets: experiment or commit, rebuild or iterate - Help other engineers get sharper at experimentation and product thinking
-
Senior Backend Engineer
San Francisco, California, United States
unspecified Salary not disclosedSenior Backend Engineer San Francisco, California, United States Summary: As a Senior Backend Engineer , you will design, build, and deploy the backend services that power our creative brainstorming and creation products. You will work with web and video standards to power our suite of web-based image and video creation / editing tools. You will also work on building and deploying backend services and APIs to our AWS infrastructure, write secure, stable, and scalable Python code, interface with our ground-breaking foundation model, and integrate with Postgres, Redis, S3, and DynamoDB to implement event streaming/processing logic. You will work with passionate engineers and top researchers to build a truly disruptive and novel technology. We're looking for full-time hires in our San Francisco office. Required Experience: - Experience developing scalable services using Python, using frameworks such as FastAPI and Pydantic - Experience building and scaling cloud-based infrastructure leveraging Kubernetes and EKS - Experience working with relational databases - At least 5 years of professional experience building backend services Nice to have: - Experience building high availability services using CI/CD, full ranges of test validation approaches, monitoring and alerting - Familiarity with authentication / authorization, utilizing standards such as oauth2, OIDC, and JWT - Experience writing unit and integration tests and working with CI/CD and dev-containers - Familiarity with AWS IAM, ALB/NLB, route53, S3, Cloudflare - Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka - Experience architecting and implementing REST APIs for distributed systems - Experience with
-
Senior Full-Stack Engineer
San Francisco, California, United States
unspecified Salary not disclosedSenior Full-Stack Engineer San Francisco, California, United States Summary: As a Senior Full-Stack Engineer , you will design, build, and deploy the frontend and backend services that power our creative brainstorming and creation products. You will work with emerging web standards to build web-based image and video creation / editing tools. You will also work with frameworks/languages such as NextJS, React, Redux, Typescript, and Javascript. You will also work on building and deploying backend services and APIs to our AWS infrastructure, write secure, stable, and scalable Python code, interface with our ground-breaking foundation model, and integrate with Postgres, S3, Redis, SQS, and S3, to implement event streaming/processing logic. You will work with passionate engineers and top researchers to build a truly disruptive and novel technology. Must-Have Experience: - 5+ years of professional experience with Javascript, React, NextJS, and Typescript. - Experience working closely with design to set and deliver engineering initiatives and projects. - A product-focused engineer who is passionate about the user experience and empowering creatives. Nice-To-Have Experience: - Experience developing scalable services using Python or Golang. - Experience working with relational datastores - Experience writing unit and integration tests, working with CI/CD, and writing functional tests using tools such as Playwright. - Strong familiarity with frameworks / standards / concepts such as WASM, websockets, IndexedDB, promises, generators, and coroutines. - Experience building and scaling cloud-based infrastructure leveraging Kubernetes. - Experience architecting and implementing REST APIs for distributed systems. Benefits: - Competitive compensation and equity - 401k - Healthcare
-
Research Scientist
San Francisco, California, United States
unspecified Salary not disclosedResearch Scientist San Francisco, California, United States 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
-
Research Engineer
San Francisco, California, United States
unspecified Salary not disclosedResearch Engineer San Francisco, California, United States 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