San Francisco, CA
AI inference platform for production deployment
Baseten builds an AI infrastructure platform for deploying and serving ML models at high performance and scale. It serves developers and companies building GenAI applications needing low-latency inference, optimized APIs, and managed hardware. This enables reliable production AI without infrastructure management hassles.
Leads positioning, messaging, launches, content, and sales enablement for AI inference and post-training offerings, targeting developers and enterprise customers. Requires 3–8+ years of technical product marketing experience and familiarity with LLMs, AI/ML infrastructure, APIs, and developer ecosystems.
Build and operate Baseten’s internal AI developer platform, including agent infrastructure, evaluation systems, developer tooling, and CI/CD integrations. The role requires 4+ years of relevant experience, strong Python or Go skills, hands-on LLM and agent-framework experience, and familiarity with Kubernetes and Docker.
Build and own the testing frameworks, integration environments, performance tooling, and resilience capabilities that enable reliable AI inference infrastructure. The role requires strong Go or Python skills, distributed-systems testing experience, Kubernetes and Docker expertise, and the ability to improve test reliability at scale.
Build and operate continuous delivery infrastructure for Kubernetes deployments across global regions, including progressive rollouts, automated health evaluation, and rollback systems. The role requires strong Go or Python skills, large-scale Kubernetes experience, and familiarity with GitOps tooling.
Build foundational observability infrastructure, including high-throughput telemetry pipelines, storage, instrumentation, alerting, and SLO systems across multi-cloud environments. The role requires strong programming skills in Python, Rust, or Go and experience with observability platforms and large-scale data systems.
Owns Baseten’s enterprise and industry go-to-market strategy, building vertical sales kits, deal playbooks, buyer enablement, and onboarding for technical sellers. The role requires 6+ years in product or solutions marketing and the ability to translate AI infrastructure concepts for technical and business stakeholders.
Leads Baseten’s global workplace, real estate, and employee environment strategy as the company scales from hundreds to thousands of employees. The role requires 10+ years of experience building workplace functions at hypergrowth technology companies and is based in San Francisco with regular office presence.
Build and deploy production AI applications for customers, partnering with their engineering teams from initial problem framing through monitoring and expansion. Requires at least two years of professional experience, production programming expertise with Python preferred, and familiarity with ML model development and deployment.
Strategic finance professional partnering with GTM leadership at a fast-growing AI infrastructure company. Own forecasting, build usage-based revenue models, analyze key metrics, shape pricing and sales comp, and prepare board materials. Requires 3-7 years in strategic finance, investing or IB plus strong modeling and communication skills.
Own end-to-end U.S. and global immigration, visa sponsorships, relocations, and international hiring strategy for a fast-growing AI infrastructure company. Requires 5+ years managing diverse visa types, deep regulatory knowledge, and strong advisory skills across compliance, tax, and expansion.
IT Support/Operations Engineer providing in-house technical support, user lifecycle management, office infrastructure maintenance, and systems administration for a fast-growing AI infrastructure company. Requires 4+ years IT support experience, strong knowledge of Google Workspace, MDM, Okta, macOS administration, and automation.
GRC Manager responsible for building and managing Baseten's security governance, risk assessment, compliance programs (SOC 2, ISO 27001, FedRAMP, HIPAA), audits, vendor risk, and customer assurance in a fast-growing AI infrastructure startup. Requires 5+ years in GRC or security compliance, preferably in SaaS/cloud environments.
Serve as strategic People Business Partner embedded with GTM leadership at a high-growth AI infrastructure company. Drive org design, performance and talent management, change initiatives, and leadership development for revenue teams.
Field Marketing Manager leading regional strategies, events, and demand gen programs in the New York tech ecosystem to support sales pipeline and brand awareness for an AI infrastructure company. Requires 5-7 years field marketing experience in tech/SaaS, proficiency with Salesforce and HubSpot, and active use of AI tools.
Own end-to-end enterprise readiness product at Baseten, turning security, compliance, deployment, identity, and billing requirements from deal-by-deal exceptions into supported, priced platform capabilities for regulated AI customers. Requires 8+ years PM experience shipping B2B infrastructure products.
Lead Software Engineer building real-time observability and root-cause analysis for Baseten's large-scale GPU fabrics and high-performance networks. Requires strong distributed systems and infrastructure experience to correlate telemetry from switches, NICs, GPUs, and inference services.
3-month full-time research fellowship at Base Labs focused on open-source LLMs and frontier AI. Fellows receive 1:1 senior mentorship, $15k stipend, full support, and a path to full-time roles while producing publishable research from the San Francisco office.
Lead brand campaigns, product launch visuals, and visual identity systems for an AI infrastructure company. Requires exceptional visual craft, systems thinking, and ability to communicate complex technical concepts.
Drive ecosystem partner success at Baseten by shaping joint solution narratives, creating technical content, building sales enablement programs, and executing co-marketing campaigns with AI partners. Requires 3-5 years product/partner marketing experience, strong technical communication skills, and familiarity with AI/ML concepts.
Senior IC role defining sales operating models, processes, and training for a technical AI sales team. Requires experience carrying quota, managing teams, or leading enablement/RevOps with strong methodology fluency.
Foundational GTM Strategy & Revenue Operations hire building coverage models, pipeline forecasts, and segmentation logic for a high-growth AI infrastructure company. Requires 4-6 years experience in revenue operations or sales strategy at a scaling B2B SaaS company.
Senior Frontend Engineer building performant React/TypeScript interfaces for an AI inference platform. Owns UI architecture, performance, and cross-team collaboration on production-grade web apps.
Drive partner ecosystem success by shaping partner narratives, creating joint GTM content, and enabling partner sales teams. Requires 6-10 years in B2B product/partner marketing with NVIDIA or cloud provider experience.
Own and build the internal Capacity platform end-to-end, translating operational requirements into full-stack tooling that balances supply/demand and streamlines customer lifecycle workflows.
Own the full customer evidence motion: building systems to capture customer stories, running co-marketing programs, and developing channels to amplify them for ML and AI engineering audiences.
Own the full developer journey from sign-up to production deployment for an AI inference platform. Drive CLI, SDKs, console, onboarding, and deployment lifecycle to make model shipping effortless.
Drive complex, cross-team infrastructure programs at Baseten. Own large-scale migrations, establish operating rhythms, and create clarity from ambiguity across AI infrastructure domains.
Manage a team of cloud platform engineers building scalable, reliable infrastructure. Drive technical decisions, coach engineers, and partner cross-functionally on ML infrastructure priorities.
Lead the Runtime Fabrics team building container runtime and storage layers purpose-built for AI inference workloads. Manage systems engineers, set technical direction for containerd/runc extensions, and drive open-source contributions.
Strategic finance professional supporting financial planning, modeling, and cross-functional analysis at a fast-scaling AI infrastructure company. Requires 3-4 years in IB, VC, PE, or strategic finance with strong modeling skills.
As a Software Engineer on the Inference Stack team, you will build the distributed runtime that powers large-scale LLM inference. This role involves working across the stack, from developer experience to low-level infrastructure, and owning systems in production.
Owns full-cycle recruiting for Sales team at AI infrastructure startup, building GTM pipelines from scratch. Requires 3+ years experience sourcing Sales talent, process optimization, and data-driven insights in fast-growth environments.
Site Reliability Engineer owns reliability of multi-cloud Kubernetes infrastructure for AI/ML platform, builds observability tooling as code, automates mitigations, leads incident response, and defines SLOs/SLIs. Requires extensive Kubernetes and observability experience.
Leads and mentors Forward Deployed Engineers building and optimizing LLM inference for customers, while hands-on contributing to product features and customer engagements. Requires 4+ years software engineering with Python/ML expertise and 1+ year leadership.
Leads and mentors a team of Solution Architects partnering with sales to translate customer needs into technical AI solutions, run discovery, demos, POCs, and deploy high-performance LLM applications on Baseten's platform. Requires 4+ years in solutions architecture with AI/ML expertise and 1+ year leadership.
Build automation and systems to provision and orchestrate GPU hardware into scalable Kubernetes clusters. Requires deep Linux expertise, provisioning experience, and strong programming in Python/Go.
Build and own high-performance inference runtime for Voice AI models including STT, TTS, and voice agents. Design real-time systems with low tail latency, collaborate cross-team, and optimize model serving for production workloads. Requires CS degree and real-time systems experience.
Shapes core developer experience for AI platform by owning roadmaps for APIs, SDKs, UI workflows, and integrations. Requires 4+ years PM experience in developer tools/SaaS/ML, engineering background, and developer empathy.
Security Engineer builds and maintains security for ML infrastructure platform, designing secure cloud/container systems, managing vulnerabilities/incidents, IAM, compliance, and integrating DevSecOps. Requires 3+ years experience in cloud security and security tools.
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.
Enterprise Account Executive owning full sales cycles for new business in regulated industries like financial services, healthcare, and government. Requires 8+ years B2B sales experience, complex deal closing, and technical acumen in AI infrastructure.
Builds and scales internal data platform by designing data models, pipelines, and analytics infrastructure to transform raw product/business data into reliable datasets for company-wide decision-making. Partners with stakeholders across Product, Engineering, Finance, Marketing, and Sales.
Conducts research on post-training methodologies and performant inference for AI models, balancing pure research with applied work for production systems. Requires PhD in ML with top publications and ability to design rigorous experiments at scale.
Manages GPU fleet operations, including node maintenance, capacity fulfillment, and technical orchestration between SRE/infra teams and customers. Requires 2+ years experience, Kubernetes familiarity, and strong communication skills.
Owns company-wide compensation strategy, programs, equity grants, and review cycles. Advises leaders on competitive offers and leveling in high-growth tech environment. Requires 8+ years experience and strong analytical skills.
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.
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.
Builds and operates internal AI agents and LLM-powered workflows to boost engineering productivity across code writing, PR reviews, debugging, and documentation. Evaluates and deploys cutting-edge AI coding tools tailored to company needs.
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.
Senior engineer building AI training platform features like multi-node training and serverless RL. Owns full stack from API/UI to infrastructure, fine-tunes models, and collaborates with researchers. Requires 5+ years experience in software, distributed systems, and developer tools.