Leads technical delivery and full-stack integrations of Voice AI platform for federal customers, from discovery and prototyping to production deployment and optimization. Partners with sales to navigate government cycles, builds reusable patterns, and influences product roadmap.

Develops systems for LLM interpretability and deterministic governance by working directly with model weights, activations, and architectures. Implements mechanistic interpretability techniques like activation patching and control vectors for enterprise policy enforcement in production.

Designs and implements secure cloud architectures across AWS, GCP, and Azure, develops IaC with security controls, conducts audits, and integrates security into CI/CD pipelines. Requires 3-5 years experience, bachelor's degree, and proficiency in cloud platforms and IaC tools.

Leads teams developing real-time perception systems for autonomous aircraft, including object detection, sensor fusion, and state estimation using EO/IR, radar, and IMU data. Requires 7+ years experience in unmanned systems, algorithm expertise, and 2+ years people leadership.

Leads engineering team building OTA update systems, training simulations, maintenance tools, and flight data analysis apps for aircraft operations. Requires 6+ years software experience (Python/C++), 1+ years managing engineers, and bachelor's in CS or equivalent.

Leads quality initiatives across product lifecycle for autonomous aircraft, developing AS9100-aligned systems, root cause analysis, and process improvements. Collaborates cross-functionally to ensure reliability in manufacturing and NPI, requiring 5+ years experience and engineering degree.

Develops and improves Codex AI agents for real-world software engineering tasks, focusing on performance, reliability, and integration with research and product teams. Requires strong Python, ML/LLM experience, and skills in evaluation, prompting, and debugging production failures.

Builds infrastructure for AI agents in production, focusing on sandboxed code execution, orchestration, stateful workflows, and optimization for tokens, latency, reliability, and cost at scale. Requires strong distributed systems and infrastructure engineering experience.

Leads technical demonstrations, evaluations, onboarding, and support for customers adopting geospatial software for 3D mapping from LiDAR/imagery. Requires 10+ years surveying/geospatial experience and proficiency in CAD/GIS tools like ArcGIS and Civil 3D.

Deploys voice agent solutions onsite for enterprise customers, discovers expansion use-cases, and builds products to streamline future deployments. Requires early startup technical experience and FDE background at admired companies.

Leads execution of complex manufacturing programs from concept to production, driving cross-functional alignment across engineering, supply chain, and operations to meet milestones. Requires 5+ years in program leadership within aerospace or advanced manufacturing, Bachelor's in engineering.

Owns and manages Kubernetes clusters, infrastructure as code, CI/CD pipelines, real-time data pipelines, monitoring, and production debugging for large-scale AI infrastructure. Requires 3+ years DevOps experience with distributed systems and cloud environments.

Builds and maintains machine learning models, applies statistical analysis, and delivers insights that guide product, go-to-market, and business decisions. The role requires 3+ years of data science experience, strong Python and SQL skills, and a bachelor's degree in a quantitative or computer science field.

Build and scale developer communities around AI software agents like Devin through ambassador programs, events, hackathons, university partnerships, and technical content. Requires technical background in coding/APIs and 2+ years in devrel/community management.

Builds and owns end-to-end product features for voice agent platform, including WhatsApp integration and RL loops. Experienced in scaling products from Series B to F stages with customer-facing API design.

Builds and owns production ML platform systems, turning AI research into reliable, scalable features. Partners with CTO on prototyping, observability, and end-to-end deployment of AI capabilities. Requires 3+ years experience with Python and modern ML frameworks; onsite in NYC.

Designs evaluation measures, harnesses, and datasets to assess risks from frontier AI systems, including dangerous capabilities testing. Collaborates with agencies, publishes methodologies for policymakers; requires 3+ years ML experience and publications in generative AI.

Leads architecture, design, and development of precision wire harnesses and cable assemblies for autonomous UAVs, including 3D CAD routing, analysis, prototyping, and testing. Requires 8+ years in aerospace/robotics harness design, CAD expertise, and EWIS tools.

Designs and integrates complex electromechanical avionics systems for next-generation aircraft, including packaging, thermal management, and compliance with aerospace standards like DO-160 and MIL-STD. Requires 10+ years experience in aerospace mechanical/electrical design and CAD/eCAD expertise.

The role optimizes large-scale distributed training and inference for foundation models, focusing on profiling, parallelization, memory efficiency, and productionization. It requires strong Python skills, multi-GPU training experience, and expertise in modern ML architectures.

Partners with strategic customers to ideate, prototype, deploy, and scale applications built on the OpenAI API. The role requires 5+ years of technical consulting or equivalent experience, strong Python and JavaScript skills, and fluency in Japanese and English.

Build a medication-management and chronic-care product for older adults in Taiwan, spanning conversational interfaces, medication logic, adherence tracking, and caregiver and clinician workflows. The role requires strong product-engineering ability, healthcare or conversational-systems experience, Mandarin fluency, and careful safety and accessibility judgment.

Owns full sales cycle for mid-market accounts under 500 employees, sourcing pipeline via outbound prospecting and closing deals with technical buyers at high-growth companies. Requires 2-5 years SaaS sales experience, quota attainment, and familiarity with AI/ML developer tools.

Leads architecture and implementation of planet-scale security services like authN/Z, proxies, and key management for OpenAI's GPU clusters, multi-cloud infra, and AI models. Requires expertise in secure distributed systems, cloud platforms, and cross-team leadership.

Principal Security Engineer leads security for OpenAI's infrastructure including GPU clusters, multi-cloud, datacenters, and Kubernetes. Drives strategy, builds controls against advanced threats, and mentors teams with deep cloud and on-prem expertise.

Builds and scales distributed systems for real-time voice processing, ML inference, and telephony integration using Kubernetes. Requires 5+ years experience with cloud infrastructure, real-time systems, and tools like Terraform and Datadog.

Leads engineering team building scalable detection and mitigation systems to prevent misuse of frontier AI models, focusing on distillation detection and IP protection. Requires strong experience in adversarial environments, distributed systems, and cross-functional partnerships with Research and Product.

Leads North America sales team to drive revenue from pipeline generation to deal closure. Requires 7+ years B2B SaaS sales experience, including 2+ years managing reps, enterprise deal expertise, and AI familiarity.

Leads product vision and execution for AI PC intent orchestration platform, defining roadmaps, shipping flagship "Butler" apps, and partnering with OEMs like Acer. Requires 8+ years in product management with deep AI technical knowledge and startup leadership experience.

Owns portfolio of strategic enterprise accounts end-to-end, orchestrating AI delivery teams, ensuring post-go-live outcomes like adoption and ROI, managing C-level relationships, and driving expansion through proven value. Requires 15+ years in enterprise tech delivery with 5+ years account ownership.

Lead the development of an AI-powered compliance platform as the first engineer, owning full-stack architecture, building AI agents for document processing and payroll validation, and establishing engineering standards for scalability and security.

Develops evaluation workflows and fine-tuning products for LLM model improvement, working across full-stack from APIs to web interfaces. Requires 1-7 years software engineering with hands-on LLM evals/post-training experience and user-centric product skills.

Identify and advance complex enterprise opportunities by turning product usage and inbound demand into qualified leads for account teams. Requires 4+ years in enterprise sales, strong executive communication, and experience in regulated industries.

Enterprise Solutions Engineer who partners with account executives to architect generative AI solutions, create tailored demonstrations, and guide complex enterprise integrations. The role requires 4–6 years of customer-facing sales engineering experience and strong communication across executive, business, and engineering stakeholders.

Forward Deployed Engineer splits time supporting customers with debugging, POCs, and integrations while building SDKs, prototypes, and platform enhancements. Requires strong software fundamentals, full-stack curiosity, and customer-facing problem-solving skills.

Executes V-BAT UAS flight operations, develops and improves SOPs and training materials, ensures FAA compliance, and collaborates cross-functionally on standardization and process improvements. Requires UAS or military aviation pilot experience.

Owns portfolio of enterprise accounts in post-sales, driving retention, renewals, and expansions through stakeholder relationships, health monitoring, and QBRs. Requires 5+ years in customer success or TAM at B2B SaaS, technical fluency in APIs/integrations.

Build in-house tooling for post-training custom ML models using advanced techniques like RL and finetuning. Requires deep expertise in transformer training, PyTorch distributed systems, parallelism strategies, GPU performance optimization, and HPC platforms.

Research Engineer on the Code RL team advancing AI models' ability to write efficient code for accelerators. Requires deep expertise in accelerators like CUDA/ROCm and ML frameworks like JAX/PyTorch, plus experience across kernels, model code, and distributed systems.

Leads customer success post-onboarding for enterprise manufacturing clients, monitoring platform usage, driving adoption, resolving issues, and identifying expansion opportunities. Requires 2-4 years in customer success or solutions with strong data fluency and SaaS experience.

Develops data generation, post-training, and evaluation methods to improve the safety, fairness, robustness, and security of large language models that can take actions in the world. The role requires strong statistics and software engineering skills, distributed LLM training experience, and expertise in data collection and ML evaluation.

Optimizes processes and systems across engineering, product, sales, and GTM teams in a high-growth startup. Requires 2-5+ years in strategy/ops/analytical roles, Excel mastery, and strong problem-solving in fast-paced environments.

Develops and trains advanced AI models to tackle critical challenges in truth-seeking AI systems. Requires deep passion for building useful models and power user experience with AI; prior large-scale training experience preferred.

Coordinates propulsion development for aircraft systems, driving schedules, cross-functional teams, suppliers, and risk mitigation to meet vehicle milestones in aerospace hardware programs. Requires engineering background and 7+ years TPM experience.

Build and maintain production-grade data integrations and ingestion pipelines connecting enterprise systems to Hebbia's AI platform. Requires 2-5 years experience with Python, backend services, and API integrations in a high-ownership, on-call production environment.

Research Scientist focuses on agent robustness, developing tests, exploits, and mitigations for safe AI agents. Requires 3+ years ML experience, RL techniques like RLHF/DPO, and published research in generative AI.

Designs methods, systems, and experiments for AI controls and monitoring to ensure alignment in high-stakes environments, including real-time tracking, fail-safes, and red-team simulations. Requires 3+ years ML experience, published research in generative AI, and strong prototyping skills.

Develops multimodal AI models focused on image, video, and audio for high-fidelity generation, understanding, and agentic systems. Drives data curation, training, evaluation, and production integration of cutting-edge models.

Generates sales pipeline through outbound prospecting (cold calls, emails, LinkedIn) targeting engineering teams for AI coding tool. Requires 1-2 years sales/SDR experience, self-starter mindset, and technical communication skills to qualify leads and hand off to Account Executives.

Enterprise Account Executive managing full sales cycles for enterprise accounts, including outbound lead generation, deal negotiation, and closing 7-figure deals. Requires 4+ years top-performing sales experience in complex solution sales, ideally in AI or customer support software.