Senior engineer on the Experience Platform team redesigning Pinecone's API, SDKs, and web interfaces for AI agents. Requires 4+ years experience, AI coding tools proficiency, API/SDK design, React, and cloud providers.

Supports manufacturing system bring-up by configuring, testing, validating, and debugging complex computer systems before shipment. The role requires 3+ years of operations experience, hardware and ASIC bring-up expertise, and scripting skills in Python or Perl.

Drives planning, coordination, and execution of compute infrastructure programs at scale, owning workstreams from procurement to allocation. Partners cross-functionally with engineering, research, and finance teams in a fast-paced AI environment.

Develops software tooling for hardware engineers, including compilers, IR transformations, simulation, and automation for AI-native silicon design. Requires strong CS fundamentals, proficiency in Rust/C++/Python, and familiarity with RTL and compilers.

Owns financial planning, modeling, and strategic decision-making at a high-growth AI company. Partners with executives on capital allocation, KPIs, and board materials. Requires 3-5 years strategic finance experience and expert modeling skills.

Owns end-to-end billing systems including Stripe and RevenueCat integrations, subscription management, and usage metering for web and mobile. Leads architecture evolution to ledger-based model with 5+ years backend experience in high-stakes systems.

Build and maintain scalable backend products and APIs for customer-facing AI applications. The role requires 3–6 years of backend experience, strong Python and Django skills, database and distributed-systems knowledge, and sound computer science fundamentals.

Build and optimize large-scale ML systems for safe, steerable AI, handling infrastructure, experiments, and dev tooling. Requires strong software engineering and interest in ML research.

Drives customer success for OpenAI's business products through data analysis, experimentation, and insights to boost adoption and engagement. Requires 7+ years in data science, expertise in Python, R, SQL, statistics, and causal inference.

Solutions Architect translates business needs into scalable AI architectures, prototypes GenAI applications, builds custom agents/workflows, and integrates with enterprise systems like Salesforce and Adobe. Requires hands-on LLM experience, prompt engineering, and customer-facing technical delivery skills.

Senior Infrastructure Engineer owns critical infrastructure decisions, builds scalable platforms using AWS and Terraform, ensures security/compliance, and mentors teams. Requires 5+ years AWS experience and expertise in monitoring tools like Datadog.

Owns end-to-end quality for AI coding products by designing comprehensive tests, reproducing complex defects, and improving QA automation and release processes. The role requires 5+ years of QA or test engineering experience, coding ability, strong debugging skills, and comfort evaluating non-deterministic AI behavior.

Owns end-to-end billing, pricing, and revenue infrastructure at Baseten, building scalable systems and internal tools. Requires 5+ years software experience, billing/internal tools background, and deep web/databases knowledge.

Sources and closes net new enterprise logos in Ohio Valley territory for Glean's Work AI platform. Requires 6+ years sales experience, technical SaaS selling skills, and C-level relationship building.

Leads technical strategy and execution for Claude API platform, driving multi-year roadmap across core, capabilities, knowledge, distributability, and agents teams. Requires 12+ years experience in distributed systems and API architecture.

Site Reliability Engineer who owns production services end-to-end, writes production code, builds observability and internal tooling, and embeds with product teams to improve reliability and performance. Requires 5+ years experience and strong systems programming skills.

Data Scientist evaluates and improves AI mitigation systems, focusing on classifiers and detection pipelines for risks like biosecurity and cybersecurity. Builds monitoring frameworks and drives cross-functional impact using Python, SQL, and analytical expertise.

Sales Development Representative generating qualified opportunities from inbound and outbound prospects via phone, email, and LinkedIn. Partners with Account Executives using AI-powered agents like LangChain for automation; requires 1-2 years SaaS sales experience and strong communication skills.

Manages full sales cycle for business purpose loans to real estate investors, using high-velocity outbound strategies to prospect, qualify, and close deals. Requires 2-4+ years full-cycle sales experience, preferably in real estate lending, and CRM proficiency.

Leads product strategy for API agents, defining roadmaps to enhance developer tools for building AI agent applications. Requires 5+ years PM experience, developer-focused API design, and cross-team collaboration.

Build and own autonomous agentic systems for customer-facing revenue and marketing workflows, partnering with sales and marketing teams. Requires 4+ years experience in software/ML engineering, full-stack skills in Python/JavaScript, and production systems expertise.

Leads development of autonomous orchestration platform for defense and commercial unmanned systems, owning full product lifecycle from strategy and customer requirements to engineering delivery and launches. Requires 2+ years PM experience with hardware-software systems and bachelor's degree.

Partners with Sales to translate customer needs into AI technical solutions, leads demos, technical scoping, benchmarking, and POC execution for ML inference deployments across modalities like LLMs and VoiceAI.

Owns Tavily’s end-to-end accounts receivable function, including invoicing, collections, cash application, reporting, and controls. The role requires at least two years of AR experience and strong cross-functional communication with Sales, Customer Success, Finance, and customers.

Develops bi-directional/recurrent architectures for hierarchical sensorimotor perception inspired by brain principles to advance AGI. Requires PhD-level expertise in deep learning frameworks like PyTorch/JAX, theoretical rigor, and passion for biological intelligence.

Conducts fundamental research on hierarchical RL agents, developing architectures for world modeling, planning, and ethologically constrained learning. Collaborates cross-functionally to translate brain-inspired principles into scalable AGI systems; requires PhD-level expertise in AI/ML and strong coding skills.

Conducts fundamental research on brain-inspired world models and AGI architectures, designing experiments on cognition, causal representations, and unsupervised learning. Collaborates with neuroscientists and engineers; requires PhD-level expertise in deep learning frameworks like PyTorch/JAX.

Conducts fundamental research on neuroscience-inspired energy-based models and hierarchical latent variable models for AGI. Designs experiments on cognition and collaborates cross-functionally to build scalable systems. Requires PhD-level expertise in deep learning and PyTorch/JAX.

Leads cross-functional strategic projects in Generative AI to drive multimillion-dollar revenue, owning data labeling operations and product enhancements. Requires 2+ years experience, strong technical skills in SQL/Python, and entrepreneurial mindset.

Builds and scales core infrastructure including Kubernetes clusters and cloud resources to power AI data platform. Collaborates with teams on foundational systems, optimizes for cost/performance, and ensures security/compliance. Requires 5+ years infra experience.

Designs secure, compliant AI-driven architectures and builds POCs for federal customers. Requires Top Secret clearance, Python proficiency, cloud expertise (AWS GovCloud, Azure Gov, GCP), API integrations, and familiarity with MLOps and federal compliance standards.

Leads infrastructure reliability for large-scale GPU clusters, architects systems for training/inference scaling, and builds a high-performing engineering team. Requires deep Linux/distributed systems expertise, GPU production experience, and Kubernetes fluency.

Lead design and implementation of security foundations including access governance, RBAC/ABAC, secrets management, and agent permissions for AI platforms. Partner with teams to embed secure practices while maintaining velocity; requires hands-on coding and production security experience.

Build systems to detect and prevent account abuse by analyzing signals at scale, integrating vendor data, and creating monitoring tools. Requires 3+ years experience in software engineering focused on fraud/abuse, proficiency in Python/SQL.

Provides technical support to customers using OpenAI products, troubleshooting complex issues, automating processes with Python and AI tools, and partnering with engineering teams. Requires 8+ years in support engineering and expert problem-solving skills.

Build and scale enterprise GenAI infrastructure across multi-cloud providers (AWS, Azure, GCP), implementing integrations and architecting systems for regulated industries. Requires 4+ years experience, proficiency in Python/JS/SQL, Kubernetes, and AI technologies like LLMs.

Forward Deployed Engineer works directly with customers to design, prototype, and deploy Tavily API integrations into AI agent systems, spanning pre-sales to post-deployment. Requires 3+ years software engineering with AI expertise in RAG, LLMs, and agent stacks.

Partners with AI labs to integrate models, run evaluations, and deliver results while building custom engineering solutions across the stack to address customer needs and push platform capabilities.

Drives new-customer acquisition and revenue across German-speaking EMEA markets by prospecting, managing full-cycle technical sales, and developing stakeholder relationships. Requires demonstrated quota overachievement, pipeline-building experience, German fluency, and comfort selling AI or developer technologies.

Software engineer architecting GPU networking software with RDMA for distributed AI inference. Optimizes communication for H100/Blackwell clusters, WideEP, and serverless LLM startups using C++/Python and NVIDIA tools.

Prospects enterprise accounts through outbound calls, emails, and social outreach to qualify leads and book meetings for Account Executives in a fast-paced AI sales team. Requires 1+ years B2B tech/SDR experience and strong phone communication skills.

Partners with sales to drive technical sales of AI/ML infrastructure, leading demos, POCs, and solutions for enterprise customers. Requires 2+ years software engineering, AI/ML expertise, and strong communication skills.

Drive business-critical multi-disciplinary engineering projects from concept through execution, leveraging strong leadership, communication, planning, and engineering skills to manage complex releases and customer requests.

Design and build infrastructure platforms for ChatGPT, focusing on scalability, reliability, and developer productivity. Requires experience with large-scale distributed systems, performance optimization, and creating reusable abstractions for engineering teams.

Strategic recruiter partnering with research teams to source and hire top AI/ML researchers and engineers. Requires deep technical recruiting experience in specialized fields like ML/AI and high-stakes negotiations.

Develops and optimizes low-level machine-learning and HPC kernels for Cerebras’s custom massively parallel processor architecture. The role requires C++ and Python proficiency, strong debugging skills, and an understanding of hardware architectures; experience with parallel algorithms, accelerators, and ML frameworks is preferred.

Lead engineering team, hire for Toronto site, drive technical strategy and architecture for AI agent platform. Requires 8+ years experience, hands-on coding, system design expertise, and scaling large systems.

Leads QA for AI agent platform, building test strategies, validating voice/chat/email agents for accuracy and edge cases, manages distributed offshore team, and owns release quality gates in fast-paced environment. Requires 7+ years QA experience with non-deterministic products.

Builds security systems for AI agents platform handling sensitive customer data, including application security, access controls, and automated tooling. Requires 4+ years security engineering experience with strong coding skills across app, infra, and cloud security.

Builds AI agents and systems to automate end-to-end data science workflows, including analysis, querying, pipelines, and experiment interpretation. Requires 6+ years in data science/engineering with strong SQL, Python, and AI experience.