Jobs at Baseten

Manage and mature Baseten’s security governance, risk, compliance, privacy, audit, certification, vendor assessment, and customer assurance programs. Translate regulatory and customer requirements into technical controls and product requirements, partnering with Engineering, Product, Security, Legal, and Operations. Coordinate SOC 2, ISO, HIPAA, FedRAMP, and related audits; manage risk assessments, evidence collection, remediation, security questionnaires, training, and continuous improvement in a fast-growing AI platform company.

Design and run post-training pipelines for large language models using supervised fine-tuning, reinforcement learning, reward engineering, synthetic data, and evaluation. Build customer-specific agent environments and translate production data into training signals. Analyze experiments, diagnose reward hacking and optimization instability, support deployment of models to production, publish research, and contribute to open-source training libraries.

Build and maintain revenue data models, dashboards, and documentation connecting contracts, pricing, product usage, billing, and invoices. Reconcile metered usage with billed revenue, govern revenue metrics, support forecasting and monthly close, and investigate data discrepancies. Partner with Finance, Revenue Operations, Finance Systems, Product, and Engineering to ensure reliable reporting for bookings, commitments, ARR, NDR, expansion, and consumption.

The Product Data Scientist will establish data-driven product decision-making at Baseten. Responsibilities include defining product metrics, designing measurement plans, analyzing experiments and customer behavior, forecasting, evaluating platform reliability and releases, and building trusted reporting tools. The role partners closely with Product, Engineering, founders, and GTM to guide roadmap and prioritization decisions across a technical, usage-based AI platform.

Leads and grows an inference performance engineering team focused on optimizing GPU-based AI workloads. Responsibilities include technical roadmap ownership, GPU profiling, inference runtime optimization, model and hardware bring-up, productionizing techniques such as quantization and speculative decoding, and measuring latency, utilization, and cost improvements. The manager partners across engineering and customer-facing teams, maintains high engineering standards, and remains hands-on in solving complex performance challenges.

Partner with Sales and customers to discover requirements, design AI inference solutions, lead technical demos, scope deployments, run benchmarks, and execute proofs of concept. Own repeatable deployment playbooks across language, image, video, embedding, and voice models while advising on runtime, GPU, latency, and throughput tradeoffs. Coordinate Sales, Engineering, and Forward Deployed Engineering stakeholders to deliver customer implementations.

Develop and productionize high-performance LLM inference techniques across runtimes, scheduling, serving, routing, and GPU kernels. Profile and optimize latency, throughput, memory usage, and cost; support new models and hardware; build benchmarking frameworks; and contribute to open-source inference engines such as vLLM, SGLang, and TensorRT-LLM. The role requires strong programming, GPU architecture, ML library, and LLM optimization knowledge.

Build and operate the distributed inference platform powering large-scale LLM deployments. Responsibilities include orchestration, routing, autoscaling, scheduling, Model APIs, authentication, quotas, metering, observability, benchmarking, and production reliability across Kubernetes, networking, distributed runtimes, and GPU workloads. The role owns projects end to end and partners with performance engineers to deliver efficient, scalable AI inference capabilities and strong developer experiences.

Own full-cycle recruiting for the marketing organization, including role kickoffs, sourcing, candidate experience, process improvement, and offer acceptance. Partner with marketing leaders and hiring managers to hire across product marketing, demand generation, growth, content, brand, and events. Build targeted candidate pipelines, manage multiple searches, and develop expertise in AI infrastructure and technical products while maintaining a high hiring bar.

Own the financial economics of Training and new products, including cost-to-serve modeling, pricing, capacity planning, forecasting, annual plans, and P&L analysis. Partner with Product, Engineering, Infrastructure, and GTM leaders on business cases, launch pricing, margins, and scale decisions. Lead monthly business reviews and define success metrics for new product launches in a fast-growing AI infrastructure company.

Own recruiting operations programs from problem identification through adoption. Analyze Ashby data, interview processes, pass-through rates, stage timing, and interviewer load; maintain data quality, dashboards, documentation, and self-service tools. Lead cross-functional initiatives, secure executive buy-in, improve recruiting processes, and build AI-powered workflows using Claude. Balance strategic programs with day-to-day support for recruiters and leadership.

Provide high-touch technical support across Mac and Windows environments; manage user provisioning, deprovisioning, access, onboarding, systems administration, office IT infrastructure, assets, vendors, and knowledge resources. Support office buildouts, automate IT workflows, and maintain cloud-based services, permissions, and administrative access in a hybrid office environment.

Build Baseten’s partner engineering platform by integrating model labs, hyperscalers, developer tools, cloud marketplaces, and AI infrastructure companies. Lead integrations from technical discovery through production, develop reusable capabilities for identity, provisioning, inference, metering, billing, and model serving, and collaborate across partner, product, and engineering teams. Own substantial production code while ensuring reliable APIs, observability, testing, safe rollouts, and robust failure handling.

Coordinate day-to-day workplace operations for Baseten’s New York office. Manage reception, visitors, conference rooms, office supplies, mail, deliveries, vendors, events, and physical workspace standards. Anticipate team needs, resolve workplace issues, support high-priority meetings and onboarding, and collaborate with the Office Manager to create an organized, welcoming, and efficient in-office experience.

Own the corporate accounting function, including general ledger activities, reconciliations, financial reporting, accruals, fixed assets, equity compensation, and month-end and year-end close. Lead close calendars, strengthen internal controls, support audits, prepare technical accounting documentation, maintain NetSuite and spend management systems, and partner with FP&A, Legal, Procurement, and Data on accounting matters.

Owns the tactical onboarding experience for new hires, including communications, documentation, background checks, I-9s, HRIS setup, travel logistics, and Day 1 coordination. Partners with managers, buddies, IT, Workplace, and Global Mobility to ensure smooth starts. Manages onboarding platform logistics and vendor relationships, handles sensitive employee information, and improves People Operations workflows through automation and systems integration.

Own Workday HCM configuration, security, business processes, reports, calculated fields, EIB data loads, integrations, and release testing. Transition the tenant from implementation to go-live ownership, support payroll configuration, resolve employee and People team requests, and mentor teammates on Workday administration. The role requires hands-on administration of a live Workday tenant, strong HCM configuration expertise, release management experience, and clear documentation skills.

Own end-to-end delivery of on-premises data center builds and GPU cloud capacity programs, coordinating infrastructure, vendors, partners, engineering, procurement, and leadership. Manage schedules, capacity commitments, risks, dependencies, contracts, readiness, governance, and executive reporting across multi-site, multi-vendor programs. Ensure power, cooling, networking, hardware, logistics, and software dependencies align for on-time production capacity delivery. Lead post-mortems and continuous improvement initiatives.

Own Baseten’s social media strategy and presence across X, LinkedIn, YouTube, and technical communities. Translate AI and infrastructure work into accurate, engaging content; lead social launches; produce short-form video; support employee and executive voices; track performance; and manage contractors and creators. The role requires technical fluency, strong writing, social growth experience, and comfort operating in fast-paced launch cycles.

Own product positioning, messaging, launch strategy, and go-to-market execution for dedicated inference and AI serving platform capabilities. Translate complex infrastructure concepts into credible narratives for technical and enterprise audiences. Develop launch assets, competitive positioning, customer insights, sales enablement, and demand-generation campaigns while partnering closely with Product, Engineering, Sales, Solutions, Demand Gen, and Customer Marketing.