Own and grow strategic relationships with Hebbia's largest finance clients. Act as trusted advisor translating complex needs into AI solutions while driving enterprise adoption and revenue growth.

Owns analytics and experimentation for checkout, payments, subscriptions, and pricing to boost revenue, reduce churn, and scale globally. Requires 5+ years in data science or product analytics with SQL/Python fluency and A/B testing expertise in high-growth/fintech settings.

Data Scientist measures and accelerates product-market fit for AI developer tools by defining developer productivity metrics, running A/B tests on coding models and UX, and building dashboards. Requires 5+ years quantitative experience, SQL/Python fluency, and experiment design skills.

Drive data-driven decisions for OpenAI's API and B2B platform by defining metrics, running A/B tests, building dashboards, and partnering with PMs and engineers to enhance developer experience and product impact. Requires 5+ years in quantitative roles with strong SQL/Python skills.

Build and deploy applied machine learning solutions for enterprise customers using large language models. The role requires experience leading ML teams, setting technical direction, working cross-functionally, and applying Python and modern ML frameworks to large-scale training and inference.

Develops modular probabilistic models and algorithms for Bayesian statistical inference and machine learning in Julia, focusing on backend implementation, scaling statistical procedures, and integrating into large software systems for finance and research applications.

Develops and deploys AI and autonomy software for unmanned platforms while integrating Hivemind with customer vehicles. The role requires strong modern C++ and Python skills, customer-facing integration experience, startup experience, and frequent travel across India.

Builds backend infrastructure and core platform for AI agent cloud, including VM hypervisors, LLM sandboxes, networking, and orchestration. Requires 5+ years in distributed systems and Linux administration for onsite role in San Francisco.

As an Application Engineer, you will lead customer engagements, own account strategy, and ensure customer success with Applied Intuition's products. You will work closely with engineering teams to understand customer needs and drive the effective use of autonomy initiatives.

Leads relationships with top AI lab customers, serving as technical contact to manage accounts, drive revenue expansion, and translate needs into engineering priorities. Requires deep ML/AI knowledge, strong networks in AI labs, and customer-facing technical experience.

Guides AI startups in building, developing, and scaling Generative AI applications on the OpenAI API platform. Requires 5+ years software/ML engineering experience, Python/JavaScript proficiency, and passion for startups.

Designs and architects infrastructure deployment solutions for enterprise customers, guiding integrations across GCP, AWS, hybrid, and on-prem environments. Requires 8-10+ years in customer-facing technical roles with deep expertise in containerization and cloud architectures.

Freelance Audiobook Specialists edit and refine AI-generated audiobook narrations, direct voices, and collaborate on mastering and post-production. The role requires audiobook production or editing experience, strong linguistic accuracy, and independent delivery.

Owns all marketing functions including field marketing, brand storytelling, product positioning, and demand generation campaigns for a Trust & Safety AI startup. Requires 4+ years experience across marketing disciplines, strong storytelling, and startup scrappiness; fully onsite in San Francisco.

Designs and validates power electronics systems including HV/LV converters, inverters, motor controllers, and battery management for autonomous aircraft. Owns full hardware development cycle from concept to aerospace-standard testing, collaborating cross-functionally. Requires BS in EE and 1+ years experience.

The SDET will design and execute automated and manual testing for SaaS product features and data pipelines, build load-testing and release automation frameworks, and collaborate with developers to ensure product quality. The role requires 2–4 years of experience and strong API, debugging, and test automation skills.

Technical Product Manager drives product vision, customer needs, and technology for image editing apps. Requires 3+ years PM or engineering experience, photography background, strong UX sense, and proven success building products.

Customer-facing technical expert who deploys Devin/Windsurf, supports integrations, and drives adoption with engineering teams. The role requires strong software engineering ability, communication, independent execution, and willingness to travel 25–50%.

Architect and build core backend systems for an AI research platform in finance. Own infrastructure, data pipelines, and AI integrations while driving technical direction and mentoring engineers.

Forward Deployed Engineer partners with AI companies to architect and deploy large-scale production workloads on Modal's serverless platform, leading technical discovery, migrations from AWS/GCP/Azure, and demos. Requires 3+ years software engineering with cloud, containers, and distributed systems expertise.

Builds technical support for AI/ML workloads by shipping code, automating fixes, and directly assisting customers with debugging and optimization. Requires deep expertise in low-level infrastructure or AI/ML engineering with strong communication skills.

Owns full sales cycle for enterprise deals with AI companies, generating pipeline, closing large deals, running POCs, and expanding accounts. Requires 7-10+ years enterprise sales experience exceeding $1M quotas, technical acumen in AI/infrastructure, and onsite work.

Builds and maintains developer tools, CI/CD pipelines, and testing infrastructure for large-scale monorepo in Python, Rust, and C++ to enable fast, reliable research development at OpenAI. Requires proficiency in large monorepos, Docker, and Kubernetes.

Owns full sales lifecycle for enterprise deals ($100k-$1M ACV), from prospecting to closing, with cross-sell/upsell focus. Requires 3+ years sales experience hitting $2M+ revenue targets; onsite in San Francisco.

Engineering intern working intensely onsite in San Francisco on AI desktop assistant development, collaborating with elite staff engineers. Requires top-tier engineering talent committed to extreme work ethic with housing provided.

Creates high-quality, humorous videos through cinematography, lighting, directing, and full production execution. Requires film-making experience, strong humor, and ability to work independently in an intense startup environment.

Designs, builds, and iterates on AI/ML models for personalization, query understanding, and content discovery. Requires 5+ years in ML, deep learning expertise (PyTorch/TensorFlow/JAX), Python, and full ML lifecycle ownership.

Advances AI products through post-training SOTA LLMs using supervised and reinforcement learning techniques on rich query datasets. Owns data pipelines, training frameworks, and model integration while collaborating across teams. Requires 2-6+ years in large-scale LLMs and Python/PyTorch expertise; PhD preferred.

Builds scalable full stack solutions including backend, frontend, and complex agentic workflows for AI-driven hardware and semiconductors. Requires 3+ years experience with React, TypeScript, Python, Next.js, C++ from top-tier CS/EECS programs.

Leads end-to-end enterprise sales cycles for AI-driven developer tools, targeting Fortune 1000 companies. Requires 7+ years sales experience, 4+ in enterprise accounts, technical aptitude, and ability to engage C-level executives.

Coordinates cross-functional teams to deliver enterprise products, manage customer requests, demos, and PoCs while driving engineering execution. Requires 3-5+ years in customer-facing program/product management/sales and comfort with EE/PCB topics.

Prospects and closes large enterprise deals in semiconductor and electronics sectors, building client relationships and collaborating with engineering teams. Requires 5+ years sales experience leading enterprise deals and bachelor's in EE/Physics or related.

Leads a team of 3-8 engineers in sprint-based delivery for AI/hardware projects, prioritizing work, translating requirements into tasks, removing blockers, and driving process improvements. Requires 2-6 years engineering management experience with agile tools like Jira/Linear and technical depth.

Designs and implements dataset infrastructure for OpenAI's large-scale LLM training stack, including standardized APIs for multimodal data, scaling pipelines across GPU fleets, and performance debugging. Requires strong distributed systems experience and collaboration with researchers.

Builds complex agentic workflows and AI systems for hardware, electronics, and semiconductors using Python, C++, TypeScript, and React. Requires 3+ years experience from top-tier CS/EECS programs.

Develops and deploys AI/ML models including fine-tuning LLMs and multi-modal systems from concept to production. Requires strong AI/ML skills from top CS/EECS/Math/Physics programs and proven production experience.

Partners with government agencies to develop and deploy GenAI applications using OpenAI API, from strategy to production. Requires 7+ years public sector technical consulting, TS/SCI clearance, and ML implementation experience.

Build and operate large-scale research infrastructure for generative AI training, including GPU clusters, distributed systems, telemetry, and reliability tooling. The role requires deep cloud infrastructure expertise, Kubernetes, infrastructure as code, and experience operating large-scale training platforms.

Partners with CEO to own sourcing strategy and scale recruiting for fast-growing AI imaging company. Requires 5+ years tech/AI recruiting experience, advanced sourcing beyond LinkedIn basics, and strong execution focus.

Researches and engineers code-generating LLMs and autonomous agent systems for enterprise automation. The role requires deep code-model expertise, strong Python and deep-learning framework skills, scalable systems experience, and a PhD with relevant publications.

Leads end-to-end deployment of frontier-model systems for strategic customers, from discovery and system design through production rollout. The role requires 5+ years of customer-facing engineering or technical deployment experience, full-stack coding ability, LLM experience, and fluency in Japanese and English.

As a Software Engineer, you will design and implement solutions for autonomy products, working across the full stack, infrastructure, robotics, and graphics. You will take ownership of technical and product decisions, collaborate with domain experts, and contribute to a dynamic team culture.

Builds end-to-end features across full stack using React, TypeScript, Python for AI sales coaching platform. Requires strong coding skills in JS/Python-like languages and startup engineering experience; in-office NYC role for 2027 graduates.

Designs long-term memory architectures for LLMs, builds multi-type memory systems, researches agent memory sharing and context management, and runs evaluations. Requires deep LLM/retrieval expertise and impactful research track record.

Drives new customer acquisition and revenue growth for voice AI platform through self-prospecting, pipeline building, and closing deals with technical buyers. Partners with cross-functional teams to exceed sales targets and manage upsell opportunities.

Brand Designer to own and evolve Hebbia's premium visual identity across marketing, product, events, and content for a high-growth AI fintech startup. Requires 5+ years experience and strong typography/composition skills.

Creates and distributes technical content to educate developers on AI advancements and Modal's infrastructure. Engages communities online and at events, builds partnerships, and tracks GTM impact. Requires 3+ years software engineering experience and strong communication skills.

Builds secure tools and features for platform, editor, and customer protection, including AI code review, least-privilege cloud access, and safe agent environments. Requires strong software engineering with security expertise, builder-attacker mindset, and experience scaling secure systems.

Leads complex deployments of AI models for government customers, embedding with stakeholders to build full-stack solutions using Python/JavaScript. Requires 5+ years experience, TS/SCI clearance, cloud/infra expertise, and customer-facing skills.

Builds and operates large-scale infrastructure including GPU clusters, Kubernetes orchestration, AWS batch jobs, and observability tooling to power AI search systems. Requires experience with massive-scale systems and focus on reliability and optimization.