Prospects and closes enterprise deals for AI observability platform in Central US region (Denver, Austin, Chicago). Requires 5+ years full-cycle sales experience selling to technical audiences like software engineers, with consultative approach.
Partners with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. Requires Python experience, familiarity with AI/ML pipelines, and 1+ years in fast-paced environments.
Partners with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. Owns end-to-end customer journey from exploration to production, requiring Python proficiency, AI/ML experience, and strong communication skills.
Prospects and closes enterprise deals for AI observability platform in West US region, targeting technical audiences like software engineers. Requires 5+ years full-cycle sales experience selling to technical buyers.
Prospects and closes enterprise deals for AI observability platform in East Region, targeting technical audiences like software engineers. Owns full sales cycle including strategy development, negotiations, and renewals; requires 5+ years selling to technical buyers.
Partners with hiring managers to source, screen, and recruit top engineering, product, and design talent for a fast-growing AI music startup. Requires 5+ years technical recruiting experience, ATS proficiency, and passion for diverse teams in a high-growth environment.
Leads technical strategy and optimization for deploying speech AI models on edge, embedded, and defense hardware platforms with strict constraints. Partners with hardware vendors like Qualcomm and supports government customers via AWS NatSec, requiring 5+ years in systems/edge AI and proficiency in C/C++/Rust.
Builds and maintains billing pipelines for usage metering, aggregation, invoicing, and integrations with platforms like M3ter and Salesforce. Delivers customer-facing dashboards and internal analytics, requiring 5+ years in SaaS billing systems and backend expertise in Python, TypeScript, or Go.
Serves as judgment layer and systems extender for AI-powered knowledge graph operations, handling high-volume communication, GTM/BD, executive assistance, content, and agent development with hacker mindset and high taste. Requires terminal comfort, API familiarity, strong writing, and automation instinct.
Develops and owns enterprise customer stories from intake to publication, translating technical AI implementations into compelling narratives for executives and builders. Partners with GTM and marketing teams to prioritize high-impact stories and support co-marketing efforts. Requires 5-8+ years in customer/product marketing and exceptional writing skills.
Develops next-generation multimodal LLMs integrating speech, text, tools, and real-time reasoning for conversational AI agents. Requires strong background in LLMs, multimodal models, fast experimentation, and production deployment experience.
Designs and secures core infrastructure for multi-tenant AI platform, focusing on container isolation, orchestration (Kubernetes), identity management, secrets handling, and cloud security across AWS/GCP. Requires production experience in cloud-native systems and builder mindset for hands-on implementation.
Leads Product Design, Design Engineering, and UX Research teams to define vision, partner with Product/Engineering, build high-performing teams, and deliver intuitive user experiences for a consumer AI music platform. Requires 10+ years design experience with leadership in scaling teams and shipping products at scale.
Hands-on Security GRC Specialist owning compliance frameworks like SOC 2 and ISO 27001, driving audits, customer trust initiatives, and engineering collaborations to implement scalable security controls. Requires 3-7+ years experience with technical mindset in cloud environments.
Deployed Engineer co-architects and builds production AI agents with customers, owns pre-sales technical wins, and advises on deployment and operations using LangChain tools. Requires 3+ years experience, strong Python/JavaScript, and expertise in LLM-powered applications.
Deployed Engineer co-builds production AI agents with customers, owns pre-sales technical wins via POCs and demos, and advises on deployment, architecture, and operations. Requires 3+ years experience, strong Python/JavaScript, and expertise in agent-based LLM applications.
Leads engagement for strategic Generative AI customers, owning project delivery, building deep relationships with researchers, navigating complex discussions, and driving expansion. Requires 5+ years in consulting, technical PM, or program management with ML understanding and STEM background.
Own end-to-end customer engagements for Generative AI projects, managing execution, communication, and cross-functional delivery while monitoring SLAs and driving improvements. Requires 3-5 years in consulting or technical program management with a technical STEM background.
Owns full sales cycle for AI infrastructure platform, selling to mid-market/enterprise AI teams. Requires 2-5 years B2B SaaS closing experience, technical buyer navigation, and self-sourced pipeline in high-growth environment.
Research Scientist investigates training data interventions to improve deep learning model quality and behavior. Sources ideas from literature, conducts customer-grounded research, and collaborates with engineers to deliver impact. Requires 3+ years deep learning research and PyTorch proficiency.
Former founder to own building voice assistant features/product lines or scaling dictation product to a billion users. Requires engineering expertise in TypeScript/React/Python with design intuition, or growth experience scaling userbases creatively.
Analyzes power, cooling, and energy data for datacenters; builds forecasting models, dashboards, and delivers insights to optimize AI infrastructure. Requires 4+ years experience, strong SQL/Python, and BI tools like Tableau.
Designs, validates, and scales secure OT network architectures for high-density AI data centers, including controls systems, telemetry, and integration with IT infrastructure. Requires 8+ years in OT networking, industrial protocols, and resilient topologies in mission-critical environments.
Drives revenue growth by selling safe AI solutions to federal civilian agencies, owning full sales cycles, navigating procurement compliance, and building key relationships. Requires 7+ years federal sales experience and deep agency knowledge.
Builds and refines AI agents using prompt engineering, conversational flows, and custom functions on the Regal platform. Tunes STT/LLM/TTS settings, conducts QA testing, delivers product feedback, and supports sales demos. Requires technical degree and 1-2 years experience.
Leads end-to-end deployment of Voice AI Agents for customers, owning product vision, technical integrations with APIs/webhooks/databases, and performance iteration. Requires 3+ years in technical customer-facing roles and AI curiosity.
Evaluates new hardware platforms by porting benchmarks and workloads, analyzes performance across compute/memory/networking, identifies bottlenecks, and optimizes for AI systems. Requires expertise in performance analysis, system architecture, and debugging across hardware/software boundaries.
Evaluate GPU and accelerator architectures from vendors like NVIDIA and AMD, analyze tradeoffs in compute, memory, and interconnect for AI workloads, and validate performance through benchmarking and early silicon bring-up.
Conducts foundational research and develops scalable ML models for speech-to-text, text-to-speech, and neural audio codecs in real-time voice AI agents. Requires deep expertise in voice modeling, self-supervised learning, and production deployment at enterprise scale.
Defines rack- and cluster-level reference architectures for AI infrastructure, translates workload requirements into designs, collaborates with partners and modeling teams to evaluate tradeoffs, and drives vendor roadmaps to address technology gaps.
Leads high-impact AI infrastructure programs for model training, evaluation, and serving at scale. Partners with engineering, research, and product teams to align roadmaps, drive execution, track metrics, and optimize workflows in technically complex environments. Requires 5-8 years experience in technical program management.
Leads engineering programs for data center network integration, controls coordination, and whitespace facility deployment. Coordinates cross-functional teams, manages risks/dependencies, and drives execution from design through operations in high-stakes AI infrastructure environments. Requires 10+ years experience and strong technical fluency.
Senior Software Engineer owns end-to-end product features across full stack, from scoping and building to deployment and iteration based on user feedback. Collaborates with ML researchers and requires 4+ years experience in product development with web apps.
Owns evaluation infrastructure for AI agents in audit workflows, building unified platforms, automated pipelines, observability, and feedback loops to ensure enterprise-scale reliability. Requires experience with LLMs, TypeScript/Python, and production AI systems.
Develop and maintain performance modeling tools to analyze AI system behavior, evaluate tradeoffs in compute, memory, networking, and storage. Requires 1-2 years experience in software engineering or systems analysis, strong programming, and analytical skills.
Develops and maintains performance modeling tools and frameworks to evaluate AI system behavior, analyze tradeoffs in compute, memory, networking, and storage. Collaborates with architects on simulations and insights for infrastructure design; requires strong software/modeling background and system architecture knowledge.
Leads a team building performance modeling frameworks to evaluate AI infrastructure tradeoffs in compute, memory, networking, and topology. Guides architectural decisions, influences vendor designs, and partners with ML/systems teams; requires deep AI workload and systems expertise.
Leads engineering team building Admin Console for enterprise AI platform, owning full-stack architecture for admin workflows like data setup, security, and governance. Requires 8+ years software engineering, 1+ years management, and strong coding skills in Python/Go/Java/etc.
Leads customer success for AI labs and enterprises, expanding relationships, driving account growth, and ensuring product value through reviews, playbooks, and health monitoring. Requires 3-5 years experience, technical fluency in AI/ML, and relationship-building skills.
Manages financial modeling, budgeting, cash flow, invoicing, vendor payments, and operational processes like onboarding and contract admin for a fast-growing AI startup. Requires 2-4 years experience, strong spreadsheet skills, and a bachelor's in finance or related field.
Leads engineering team building multimodal APIs for real-time processing, speech (Whisper/TTS), and image generation (DALL-E/4o). Owns product roadmap, collaborates with research/product teams, and drives scalable architecture in fast-paced environment. Requires strong management experience and multimodal AI familiarity.
Senior infrastructure engineer owning GPU and AWS cloud infrastructure, partnering with teams to ensure reliability and build developer tools in a fast-paced AI environment. Requires deep AWS/GPU expertise and senior-level ownership.
Leads and scales a global talent acquisition team for rapid company growth from 150 to 600+ employees, building recruiting systems, employer brand, and AI-powered operations. Requires 10+ years experience leading TA at high-growth AI/SaaS firms, with executive influence and hands-on AI tooling expertise.
Leads strategy and execution for LangChain Academy to drive developer enrollment, course launches, certifications, SEO, and partnerships. Optimizes learner engagement and measures growth metrics with strong developer empathy and technical curiosity.
Leads design, validation, and scaling of cooling and mechanical systems for high-density AI data centers. Requires 10+ years in mission-critical infrastructure, expertise in thermal systems like CDUs and chilled water, and hands-on commissioning experience.
Senior electrical engineer designs and optimizes power systems for high-density AI data centers, evaluates vendors and technologies, leads testing and commissioning, and ensures reliability for liquid-cooled GPU deployments. Requires 10+ years experience in mission-critical facilities and bachelor's in electrical engineering.
Partner Success Manager acts as trusted advisor to retail clients, driving AI platform adoption, monitoring performance, and translating tech into business ROI. Requires 7+ years in client/account management in SaaS/Retail Tech, AI literacy, and MBA.
Builds data-driven solutions and machine learning models for client projects and AI alignment research using Python, LLMs, deep learning frameworks like PyTorch/TensorFlow/JAX. Applies statistical ML, causal inference, and agile methods to deliver impactful products.
Create customer stories, sales collateral, landing pages, and messaging for AI software products. Collaborate with sales, customers, and stakeholders to drive enterprise deals, requiring strong storytelling and rapid iteration skills.
Acts as pre-sales technical advisor architecting LLM solutions with Claude for commercial customers, building prototypes, demos, and evals while guiding integrations. Requires 3+ years technical experience, strong Python coding, and customer-facing skills.
Prospects and closes enterprise deals for AI observability platform in Central US region (Denver, Austin, Chicago). Requires 5+ years full-cycle sales experience selling to technical audiences like software engineers, with consultative approach.
Partners with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. Requires Python experience, familiarity with AI/ML pipelines, and 1+ years in fast-paced environments.
Partners with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. Owns end-to-end customer journey from exploration to production, requiring Python proficiency, AI/ML experience, and strong communication skills.
Prospects and closes enterprise deals for AI observability platform in West US region, targeting technical audiences like software engineers. Requires 5+ years full-cycle sales experience selling to technical buyers.
Prospects and closes enterprise deals for AI observability platform in East Region, targeting technical audiences like software engineers. Owns full sales cycle including strategy development, negotiations, and renewals; requires 5+ years selling to technical buyers.
Partners with hiring managers to source, screen, and recruit top engineering, product, and design talent for a fast-growing AI music startup. Requires 5+ years technical recruiting experience, ATS proficiency, and passion for diverse teams in a high-growth environment.
Leads technical strategy and optimization for deploying speech AI models on edge, embedded, and defense hardware platforms with strict constraints. Partners with hardware vendors like Qualcomm and supports government customers via AWS NatSec, requiring 5+ years in systems/edge AI and proficiency in C/C++/Rust.
Builds and maintains billing pipelines for usage metering, aggregation, invoicing, and integrations with platforms like M3ter and Salesforce. Delivers customer-facing dashboards and internal analytics, requiring 5+ years in SaaS billing systems and backend expertise in Python, TypeScript, or Go.
Serves as judgment layer and systems extender for AI-powered knowledge graph operations, handling high-volume communication, GTM/BD, executive assistance, content, and agent development with hacker mindset and high taste. Requires terminal comfort, API familiarity, strong writing, and automation instinct.
Develops and owns enterprise customer stories from intake to publication, translating technical AI implementations into compelling narratives for executives and builders. Partners with GTM and marketing teams to prioritize high-impact stories and support co-marketing efforts. Requires 5-8+ years in customer/product marketing and exceptional writing skills.
Develops next-generation multimodal LLMs integrating speech, text, tools, and real-time reasoning for conversational AI agents. Requires strong background in LLMs, multimodal models, fast experimentation, and production deployment experience.
Designs and secures core infrastructure for multi-tenant AI platform, focusing on container isolation, orchestration (Kubernetes), identity management, secrets handling, and cloud security across AWS/GCP. Requires production experience in cloud-native systems and builder mindset for hands-on implementation.
Leads Product Design, Design Engineering, and UX Research teams to define vision, partner with Product/Engineering, build high-performing teams, and deliver intuitive user experiences for a consumer AI music platform. Requires 10+ years design experience with leadership in scaling teams and shipping products at scale.
Hands-on Security GRC Specialist owning compliance frameworks like SOC 2 and ISO 27001, driving audits, customer trust initiatives, and engineering collaborations to implement scalable security controls. Requires 3-7+ years experience with technical mindset in cloud environments.
Deployed Engineer co-architects and builds production AI agents with customers, owns pre-sales technical wins, and advises on deployment and operations using LangChain tools. Requires 3+ years experience, strong Python/JavaScript, and expertise in LLM-powered applications.
Deployed Engineer co-builds production AI agents with customers, owns pre-sales technical wins via POCs and demos, and advises on deployment, architecture, and operations. Requires 3+ years experience, strong Python/JavaScript, and expertise in agent-based LLM applications.
Leads engagement for strategic Generative AI customers, owning project delivery, building deep relationships with researchers, navigating complex discussions, and driving expansion. Requires 5+ years in consulting, technical PM, or program management with ML understanding and STEM background.
Own end-to-end customer engagements for Generative AI projects, managing execution, communication, and cross-functional delivery while monitoring SLAs and driving improvements. Requires 3-5 years in consulting or technical program management with a technical STEM background.
Owns full sales cycle for AI infrastructure platform, selling to mid-market/enterprise AI teams. Requires 2-5 years B2B SaaS closing experience, technical buyer navigation, and self-sourced pipeline in high-growth environment.
Research Scientist investigates training data interventions to improve deep learning model quality and behavior. Sources ideas from literature, conducts customer-grounded research, and collaborates with engineers to deliver impact. Requires 3+ years deep learning research and PyTorch proficiency.
Former founder to own building voice assistant features/product lines or scaling dictation product to a billion users. Requires engineering expertise in TypeScript/React/Python with design intuition, or growth experience scaling userbases creatively.
Analyzes power, cooling, and energy data for datacenters; builds forecasting models, dashboards, and delivers insights to optimize AI infrastructure. Requires 4+ years experience, strong SQL/Python, and BI tools like Tableau.
Designs, validates, and scales secure OT network architectures for high-density AI data centers, including controls systems, telemetry, and integration with IT infrastructure. Requires 8+ years in OT networking, industrial protocols, and resilient topologies in mission-critical environments.
Drives revenue growth by selling safe AI solutions to federal civilian agencies, owning full sales cycles, navigating procurement compliance, and building key relationships. Requires 7+ years federal sales experience and deep agency knowledge.
Builds and refines AI agents using prompt engineering, conversational flows, and custom functions on the Regal platform. Tunes STT/LLM/TTS settings, conducts QA testing, delivers product feedback, and supports sales demos. Requires technical degree and 1-2 years experience.
Leads end-to-end deployment of Voice AI Agents for customers, owning product vision, technical integrations with APIs/webhooks/databases, and performance iteration. Requires 3+ years in technical customer-facing roles and AI curiosity.
Evaluates new hardware platforms by porting benchmarks and workloads, analyzes performance across compute/memory/networking, identifies bottlenecks, and optimizes for AI systems. Requires expertise in performance analysis, system architecture, and debugging across hardware/software boundaries.
Evaluate GPU and accelerator architectures from vendors like NVIDIA and AMD, analyze tradeoffs in compute, memory, and interconnect for AI workloads, and validate performance through benchmarking and early silicon bring-up.
Conducts foundational research and develops scalable ML models for speech-to-text, text-to-speech, and neural audio codecs in real-time voice AI agents. Requires deep expertise in voice modeling, self-supervised learning, and production deployment at enterprise scale.
Defines rack- and cluster-level reference architectures for AI infrastructure, translates workload requirements into designs, collaborates with partners and modeling teams to evaluate tradeoffs, and drives vendor roadmaps to address technology gaps.
Leads high-impact AI infrastructure programs for model training, evaluation, and serving at scale. Partners with engineering, research, and product teams to align roadmaps, drive execution, track metrics, and optimize workflows in technically complex environments. Requires 5-8 years experience in technical program management.
Leads engineering programs for data center network integration, controls coordination, and whitespace facility deployment. Coordinates cross-functional teams, manages risks/dependencies, and drives execution from design through operations in high-stakes AI infrastructure environments. Requires 10+ years experience and strong technical fluency.
Senior Software Engineer owns end-to-end product features across full stack, from scoping and building to deployment and iteration based on user feedback. Collaborates with ML researchers and requires 4+ years experience in product development with web apps.
Owns evaluation infrastructure for AI agents in audit workflows, building unified platforms, automated pipelines, observability, and feedback loops to ensure enterprise-scale reliability. Requires experience with LLMs, TypeScript/Python, and production AI systems.
Develop and maintain performance modeling tools to analyze AI system behavior, evaluate tradeoffs in compute, memory, networking, and storage. Requires 1-2 years experience in software engineering or systems analysis, strong programming, and analytical skills.
Develops and maintains performance modeling tools and frameworks to evaluate AI system behavior, analyze tradeoffs in compute, memory, networking, and storage. Collaborates with architects on simulations and insights for infrastructure design; requires strong software/modeling background and system architecture knowledge.
Leads a team building performance modeling frameworks to evaluate AI infrastructure tradeoffs in compute, memory, networking, and topology. Guides architectural decisions, influences vendor designs, and partners with ML/systems teams; requires deep AI workload and systems expertise.
Leads engineering team building Admin Console for enterprise AI platform, owning full-stack architecture for admin workflows like data setup, security, and governance. Requires 8+ years software engineering, 1+ years management, and strong coding skills in Python/Go/Java/etc.
Leads customer success for AI labs and enterprises, expanding relationships, driving account growth, and ensuring product value through reviews, playbooks, and health monitoring. Requires 3-5 years experience, technical fluency in AI/ML, and relationship-building skills.
Manages financial modeling, budgeting, cash flow, invoicing, vendor payments, and operational processes like onboarding and contract admin for a fast-growing AI startup. Requires 2-4 years experience, strong spreadsheet skills, and a bachelor's in finance or related field.
Leads engineering team building multimodal APIs for real-time processing, speech (Whisper/TTS), and image generation (DALL-E/4o). Owns product roadmap, collaborates with research/product teams, and drives scalable architecture in fast-paced environment. Requires strong management experience and multimodal AI familiarity.
Senior infrastructure engineer owning GPU and AWS cloud infrastructure, partnering with teams to ensure reliability and build developer tools in a fast-paced AI environment. Requires deep AWS/GPU expertise and senior-level ownership.
Leads and scales a global talent acquisition team for rapid company growth from 150 to 600+ employees, building recruiting systems, employer brand, and AI-powered operations. Requires 10+ years experience leading TA at high-growth AI/SaaS firms, with executive influence and hands-on AI tooling expertise.
Leads strategy and execution for LangChain Academy to drive developer enrollment, course launches, certifications, SEO, and partnerships. Optimizes learner engagement and measures growth metrics with strong developer empathy and technical curiosity.
Leads design, validation, and scaling of cooling and mechanical systems for high-density AI data centers. Requires 10+ years in mission-critical infrastructure, expertise in thermal systems like CDUs and chilled water, and hands-on commissioning experience.
Senior electrical engineer designs and optimizes power systems for high-density AI data centers, evaluates vendors and technologies, leads testing and commissioning, and ensures reliability for liquid-cooled GPU deployments. Requires 10+ years experience in mission-critical facilities and bachelor's in electrical engineering.
Partner Success Manager acts as trusted advisor to retail clients, driving AI platform adoption, monitoring performance, and translating tech into business ROI. Requires 7+ years in client/account management in SaaS/Retail Tech, AI literacy, and MBA.
Builds data-driven solutions and machine learning models for client projects and AI alignment research using Python, LLMs, deep learning frameworks like PyTorch/TensorFlow/JAX. Applies statistical ML, causal inference, and agile methods to deliver impactful products.
Create customer stories, sales collateral, landing pages, and messaging for AI software products. Collaborate with sales, customers, and stakeholders to drive enterprise deals, requiring strong storytelling and rapid iteration skills.
Acts as pre-sales technical advisor architecting LLM solutions with Claude for commercial customers, building prototypes, demos, and evals while guiding integrations. Requires 3+ years technical experience, strong Python coding, and customer-facing skills.