Drives post-sales technical success for OpenAI's key enterprise customers, leading adoption, deployment, and value realization. Requires 8+ years in technical customer-facing roles with deep OpenAI product expertise and hands-on coding skills.
Build and maintain React-based web tools and Python infrastructure for ML data pipelines and internal developer productivity at a voice AI startup. Collaborate with ML engineers and researchers, focusing on usability, reliability, and cloud deployment. Requires 4+ years full-stack experience.
Designs and builds scalable backend services, APIs, and infrastructure for consumer products, balancing velocity and long-term scalability. Requires 7+ years experience with Python, Go, system design, and cross-functional collaboration.
Generates qualified sales opportunities through personalized outbound outreach, stakeholder research, and PQL qualification for enterprise SaaS customers. Requires 1-3+ years BDR/SDR experience, strong research skills, and in-office work in San Francisco.
Define and implement reliability systems for a growing AI cloud infrastructure platform, including architectural improvements, operational processes, monitoring, and incident response. Requires 5+ years production coding and 2+ years on-call experience with strong cloud skills.
Owns end-to-end product design for AI voice agent platform, collaborating with engineers and founders to create intuitive UX for complex real-time workflows. Requires 5+ years experience, strong taste, and user-centered design skills in a fast-paced startup.
Builds and scales large-scale data infrastructure including batch systems with Spark and Ray Data, streaming pipelines with Kafka/Flink, and storage on S3/Iceberg. Requires deep hands-on experience with production data pipelines and performance debugging.
Owns end-to-end lifecycle of memory features in AI systems, fine-tuning LLMs for extraction/updates/forgetting, implementing research papers, building large-scale evaluations, and shipping production models with engineering. Requires RAG/IR experience, PyTorch proficiency, and production ML expertise.
Builds end-to-end features for Mem0's memory platform using Next.js/React for UI and Python for backend, optimizing for scale, speed, and reliability. Collaborates with design, research, and customers while owning production operations and code quality.
Build analytics foundation for Deepgram's voice AI platform, owning self-serve growth strategy, experiments, and dashboards using SQL, Superset, and Heap. Partner with product team to drive API adoption and inform strategic investments.
Drives new business by owning full sales cycle, prospecting ICP accounts via cold calls and emails, delivering demos, and closing deals to meet revenue targets. Requires 2-3 years B2B technical sales experience, hunter mindset, and proficiency in sales tools.
Partners with enterprise customers to build and deploy AI conversational agents on ElevenLabs platform, advises on design and integrations, analyzes performance, and drives revenue expansion through NRR and cross-sell. Requires 7+ years in Customer Success for complex B2B SaaS/AI products.
Partners with enterprise customers to build, deploy, and optimize conversational AI agents on ElevenLabs platform, driving technical success and revenue expansion through cross-sells and renewals. Requires 3-5 years in Customer Success for B2B SaaS/AI products.
Conduct cutting-edge research on Large Language Models, focusing on transformer optimization, distributed training, data curation, and RL. Collaborate on experiments, deploy models to production, and drive voice AI innovations.
Pioneers Latent Space Models to solve core challenges in voice AI, developing neural audio codecs, generative speech models, and scalable multimodal systems. Requires strong expertise in statistical learning, foundation models, and bridging theory to efficient deployment.
Partners with enterprise customers to build, deploy, and optimize AI conversational agents on ElevenLabs platform, driving technical success and revenue expansion through cross-sells and renewals. Requires 1-3 years in Customer Success for B2B SaaS/AI products and experience with AI agents and APIs.
Leads a team of AI Deployment Managers to scale adoption for enterprise customers, owning post-sales planning, processes, and customer outcomes. Requires 4+ years in customer-facing technical roles and deep knowledge of software development and AI tooling.
Leads mechanical testing for aircraft hardware, designing test fixtures with hydraulics and sensors, automating data analysis with Python, and performing FEA on metallic/composite materials. Requires 12+ years experience, Mechanical Engineering degree, and NX proficiency.
Owns Runway's internal EDA and evaluation platform for ML research teams, optimizing queries, scaling infrastructure, and building intuitive features for non-engineers. Requires 4+ years backend experience with platform/infra, ML knowledge, or product engineering.
ML infrastructure engineer productionizing generative AI models from research to scale, optimizing multi-GPU inference, and building reliable serving systems. Requires 4+ years ML inference experience, PyTorch, Kubernetes expertise.
Builds and scales data infrastructure including pipelines for multimodal ML datasets, ETL/CDC streams, and database management to support AI research and business intelligence. Requires 4+ years in data engineering with strong Python and SQL skills.
Leads a team of Enterprise Sales Directors to drive new business and expansion in a designated region for an AI-powered customer experience platform. Requires proven track record in high-growth SaaS sales leadership, quota overachievement, and coaching with MEDDPICC methodology.
Designs prompt and context engineering strategies for AI products, builds evaluation pipelines, and ensures model quality and behavioral consistency. Requires 3+ years with LLMs, Python experience, and expertise in AI evaluations.
Build full-stack internal tools to enhance OpenAI model safety, focusing on mental health protections and policy workflows. Requires 5+ years experience with JavaScript/React, Python, and databases.
Strategic partner to executives crafting speeches, emails, and presentations to communicate company vision, manage change, and engage teams in a high-growth AI company. Requires 7+ years experience and world-class writing skills.
Develops compelling product narratives, orchestrates launches, equips sales teams, and measures market impact in a high-growth tech environment. Requires 5+ years product marketing experience and strong storytelling skills.
Drive new revenue and enterprise accounts for Deepgram's Voice AI platform (STT, TTS, voice agents). Self-prospect, exceed targets, manage complex sales cycles with technical expertise.
Builds full-stack web and mobile applications handling large-scale field data (videos, images, IoT) for construction project management. Requires 5+ years experience with TypeScript/Python/Java, modern frameworks like Next.js/Nuxt.js, cloud platforms, and APIs.
Develops scalable software for AI-driven counter-drone systems, implementing detection and mitigation algorithms. Collaborates with hardware and data teams; requires proficiency in C++, Python or Java, plus embedded systems experience.
Designs and builds tailored AI solutions for strategic customers, owning end-to-end project execution. Collaborates with client engineers on integrations using Python and strong software architecture knowledge.
Staff Software Engineer leads technical direction, owns critical systems, mentors engineers, and ships customer-facing products at a fast-growing AI startup. Requires 4+ years experience in startups, strong leadership, and expertise in web tech or AI integrations.
Drive AI platform sales to U.S. public sector agencies (SLED, Federal, Civilian) from Washington, D.C. metro area. Requires 8+ years public sector sales experience, procurement expertise, and D.C. network.
Full stack engineer building scalable health AI systems for consumers and providers, owning end-to-end development with focus on privacy, HIPAA compliance, and global scale. Requires 5+ years experience and high agency in fast-paced teams.
Research-Hardware Codesign Engineer bridges ML research and silicon architecture, debugging performance gaps, writing quantization kernels, prototyping numerics in RTL, and analyzing system tradeoffs for AI-optimized hardware.
Develops manufacturing processes, ergonomic workstations, and work instructions for aerospace assemblies to drive production stability and rate acceleration. Requires 7+ years in manufacturing engineering, bachelor's in STEM, and experience with prototype production in fast-paced environments.
Build scalable backend systems for restaurant voice AI agents, integrating ML models, POS systems, and optimizing for noisy environments. Requires 4+ years backend experience, cloud infrastructure, and AI familiarity.
Generates and qualifies leads through outbound prospecting and inbound responses for construction industry SaaS sales team. Sets meetings for Account Executives using Salesforce and industry knowledge; requires 1-2 years sales development experience.
Closes large enterprise deals for construction software through high-velocity prospecting, discovery, and customized business cases. Requires 4+ years software sales experience, consistent quota overachievement, and strong disqualification skills.
Supports fabrication and assembly of advanced composite airframes for next-generation aircraft by designing tools/fixtures, optimizing processes, and ensuring compliance. Requires 2+ years in aircraft manufacturing, CAD proficiency, and engineering degree.
Build and operate high-performance inference infrastructure for large language models, deploying optimized NLP models to production with low latency and high throughput using Kubernetes and cloud platforms. Requires 5+ years experience in scalable distributed systems and GPU workloads.
Prospects and closes enterprise deals for AI observability platform in Central US region, owning full sales cycle with technical audiences like software engineers at large companies. Requires 5-10+ years full-cycle sales experience to technical buyers.
Prospect and close enterprise deals for AI observability platform in East US region, owning full sales cycle with technical audiences like software engineers at large companies. Requires 5-10+ years full-cycle sales experience to technical buyers.
Builds and ships public-facing technical projects like benchmarks, demos, and microsites to drive developer adoption and revenue for a document processing platform. Requires full-stack engineering skills, experience with APIs/datasets/evals, and high agency in ambiguous startup environments.
Architect scalable Salesforce Service Cloud solutions for enterprise service operations, lead technical pre-sales engagements, design integrations with external systems, and define best practices as a trusted advisor to customers.
Solutions Engineer partners with sales to deliver technical presentations, engage customers on AI observability platform, and close deals. Requires 5+ years sales engineering experience, TypeScript/Python proficiency, and GenAI tinkering.
Builds production-grade systems for Codex AI software engineer to serve teams and enterprises, owning full-stack architecture, enterprise primitives like RBAC and SSO, and real-world deployments with customers.
Leads pre-sales PoCs for AI/ML data curation platform, partnering with customer ML teams to design evaluations, demonstrate training efficiency gains, and communicate results to technical and executive audiences. Requires 4+ years in ML platforms with hands-on training and evaluation expertise.
Develops novel reinforcement learning techniques using synthetic environments and feedback to enhance large-scale AI models. Designs experiments, analyzes dynamics, and integrates research into production systems; requires strong RL/ML background and engineering skills.
Research Engineer develops and experiments with multimodal world models, focusing on data strategies, training techniques, evaluations, and production deployment for AI simulation technologies. Requires 4+ years in ML research/engineering and proficiency in PyTorch or JAX.
Backend engineer building developer tools for AI infrastructure at scale, focusing on new workflows for LLMs and diffusion models. Requires full-stack experience with Python, TypeScript, ClickHouse, and onsite work in NYC or SF.
Drives post-sales technical success for OpenAI's key enterprise customers, leading adoption, deployment, and value realization. Requires 8+ years in technical customer-facing roles with deep OpenAI product expertise and hands-on coding skills.
Build and maintain React-based web tools and Python infrastructure for ML data pipelines and internal developer productivity at a voice AI startup. Collaborate with ML engineers and researchers, focusing on usability, reliability, and cloud deployment. Requires 4+ years full-stack experience.
Designs and builds scalable backend services, APIs, and infrastructure for consumer products, balancing velocity and long-term scalability. Requires 7+ years experience with Python, Go, system design, and cross-functional collaboration.
Generates qualified sales opportunities through personalized outbound outreach, stakeholder research, and PQL qualification for enterprise SaaS customers. Requires 1-3+ years BDR/SDR experience, strong research skills, and in-office work in San Francisco.
Define and implement reliability systems for a growing AI cloud infrastructure platform, including architectural improvements, operational processes, monitoring, and incident response. Requires 5+ years production coding and 2+ years on-call experience with strong cloud skills.
Owns end-to-end product design for AI voice agent platform, collaborating with engineers and founders to create intuitive UX for complex real-time workflows. Requires 5+ years experience, strong taste, and user-centered design skills in a fast-paced startup.
Builds and scales large-scale data infrastructure including batch systems with Spark and Ray Data, streaming pipelines with Kafka/Flink, and storage on S3/Iceberg. Requires deep hands-on experience with production data pipelines and performance debugging.
Owns end-to-end lifecycle of memory features in AI systems, fine-tuning LLMs for extraction/updates/forgetting, implementing research papers, building large-scale evaluations, and shipping production models with engineering. Requires RAG/IR experience, PyTorch proficiency, and production ML expertise.
Builds end-to-end features for Mem0's memory platform using Next.js/React for UI and Python for backend, optimizing for scale, speed, and reliability. Collaborates with design, research, and customers while owning production operations and code quality.
Build analytics foundation for Deepgram's voice AI platform, owning self-serve growth strategy, experiments, and dashboards using SQL, Superset, and Heap. Partner with product team to drive API adoption and inform strategic investments.
Drives new business by owning full sales cycle, prospecting ICP accounts via cold calls and emails, delivering demos, and closing deals to meet revenue targets. Requires 2-3 years B2B technical sales experience, hunter mindset, and proficiency in sales tools.
Partners with enterprise customers to build and deploy AI conversational agents on ElevenLabs platform, advises on design and integrations, analyzes performance, and drives revenue expansion through NRR and cross-sell. Requires 7+ years in Customer Success for complex B2B SaaS/AI products.
Partners with enterprise customers to build, deploy, and optimize conversational AI agents on ElevenLabs platform, driving technical success and revenue expansion through cross-sells and renewals. Requires 3-5 years in Customer Success for B2B SaaS/AI products.
Conduct cutting-edge research on Large Language Models, focusing on transformer optimization, distributed training, data curation, and RL. Collaborate on experiments, deploy models to production, and drive voice AI innovations.
Pioneers Latent Space Models to solve core challenges in voice AI, developing neural audio codecs, generative speech models, and scalable multimodal systems. Requires strong expertise in statistical learning, foundation models, and bridging theory to efficient deployment.
Partners with enterprise customers to build, deploy, and optimize AI conversational agents on ElevenLabs platform, driving technical success and revenue expansion through cross-sells and renewals. Requires 1-3 years in Customer Success for B2B SaaS/AI products and experience with AI agents and APIs.
Leads a team of AI Deployment Managers to scale adoption for enterprise customers, owning post-sales planning, processes, and customer outcomes. Requires 4+ years in customer-facing technical roles and deep knowledge of software development and AI tooling.
Leads mechanical testing for aircraft hardware, designing test fixtures with hydraulics and sensors, automating data analysis with Python, and performing FEA on metallic/composite materials. Requires 12+ years experience, Mechanical Engineering degree, and NX proficiency.
Owns Runway's internal EDA and evaluation platform for ML research teams, optimizing queries, scaling infrastructure, and building intuitive features for non-engineers. Requires 4+ years backend experience with platform/infra, ML knowledge, or product engineering.
ML infrastructure engineer productionizing generative AI models from research to scale, optimizing multi-GPU inference, and building reliable serving systems. Requires 4+ years ML inference experience, PyTorch, Kubernetes expertise.
Builds and scales data infrastructure including pipelines for multimodal ML datasets, ETL/CDC streams, and database management to support AI research and business intelligence. Requires 4+ years in data engineering with strong Python and SQL skills.
Leads a team of Enterprise Sales Directors to drive new business and expansion in a designated region for an AI-powered customer experience platform. Requires proven track record in high-growth SaaS sales leadership, quota overachievement, and coaching with MEDDPICC methodology.
Designs prompt and context engineering strategies for AI products, builds evaluation pipelines, and ensures model quality and behavioral consistency. Requires 3+ years with LLMs, Python experience, and expertise in AI evaluations.
Build full-stack internal tools to enhance OpenAI model safety, focusing on mental health protections and policy workflows. Requires 5+ years experience with JavaScript/React, Python, and databases.
Strategic partner to executives crafting speeches, emails, and presentations to communicate company vision, manage change, and engage teams in a high-growth AI company. Requires 7+ years experience and world-class writing skills.
Develops compelling product narratives, orchestrates launches, equips sales teams, and measures market impact in a high-growth tech environment. Requires 5+ years product marketing experience and strong storytelling skills.
Drive new revenue and enterprise accounts for Deepgram's Voice AI platform (STT, TTS, voice agents). Self-prospect, exceed targets, manage complex sales cycles with technical expertise.
Builds full-stack web and mobile applications handling large-scale field data (videos, images, IoT) for construction project management. Requires 5+ years experience with TypeScript/Python/Java, modern frameworks like Next.js/Nuxt.js, cloud platforms, and APIs.
Develops scalable software for AI-driven counter-drone systems, implementing detection and mitigation algorithms. Collaborates with hardware and data teams; requires proficiency in C++, Python or Java, plus embedded systems experience.
Designs and builds tailored AI solutions for strategic customers, owning end-to-end project execution. Collaborates with client engineers on integrations using Python and strong software architecture knowledge.
Staff Software Engineer leads technical direction, owns critical systems, mentors engineers, and ships customer-facing products at a fast-growing AI startup. Requires 4+ years experience in startups, strong leadership, and expertise in web tech or AI integrations.
Drive AI platform sales to U.S. public sector agencies (SLED, Federal, Civilian) from Washington, D.C. metro area. Requires 8+ years public sector sales experience, procurement expertise, and D.C. network.
Full stack engineer building scalable health AI systems for consumers and providers, owning end-to-end development with focus on privacy, HIPAA compliance, and global scale. Requires 5+ years experience and high agency in fast-paced teams.
Research-Hardware Codesign Engineer bridges ML research and silicon architecture, debugging performance gaps, writing quantization kernels, prototyping numerics in RTL, and analyzing system tradeoffs for AI-optimized hardware.
Develops manufacturing processes, ergonomic workstations, and work instructions for aerospace assemblies to drive production stability and rate acceleration. Requires 7+ years in manufacturing engineering, bachelor's in STEM, and experience with prototype production in fast-paced environments.
Build scalable backend systems for restaurant voice AI agents, integrating ML models, POS systems, and optimizing for noisy environments. Requires 4+ years backend experience, cloud infrastructure, and AI familiarity.
Generates and qualifies leads through outbound prospecting and inbound responses for construction industry SaaS sales team. Sets meetings for Account Executives using Salesforce and industry knowledge; requires 1-2 years sales development experience.
Closes large enterprise deals for construction software through high-velocity prospecting, discovery, and customized business cases. Requires 4+ years software sales experience, consistent quota overachievement, and strong disqualification skills.
Supports fabrication and assembly of advanced composite airframes for next-generation aircraft by designing tools/fixtures, optimizing processes, and ensuring compliance. Requires 2+ years in aircraft manufacturing, CAD proficiency, and engineering degree.
Build and operate high-performance inference infrastructure for large language models, deploying optimized NLP models to production with low latency and high throughput using Kubernetes and cloud platforms. Requires 5+ years experience in scalable distributed systems and GPU workloads.
Prospects and closes enterprise deals for AI observability platform in Central US region, owning full sales cycle with technical audiences like software engineers at large companies. Requires 5-10+ years full-cycle sales experience to technical buyers.
Prospect and close enterprise deals for AI observability platform in East US region, owning full sales cycle with technical audiences like software engineers at large companies. Requires 5-10+ years full-cycle sales experience to technical buyers.
Builds and ships public-facing technical projects like benchmarks, demos, and microsites to drive developer adoption and revenue for a document processing platform. Requires full-stack engineering skills, experience with APIs/datasets/evals, and high agency in ambiguous startup environments.
Architect scalable Salesforce Service Cloud solutions for enterprise service operations, lead technical pre-sales engagements, design integrations with external systems, and define best practices as a trusted advisor to customers.
Solutions Engineer partners with sales to deliver technical presentations, engage customers on AI observability platform, and close deals. Requires 5+ years sales engineering experience, TypeScript/Python proficiency, and GenAI tinkering.
Builds production-grade systems for Codex AI software engineer to serve teams and enterprises, owning full-stack architecture, enterprise primitives like RBAC and SSO, and real-world deployments with customers.
Leads pre-sales PoCs for AI/ML data curation platform, partnering with customer ML teams to design evaluations, demonstrate training efficiency gains, and communicate results to technical and executive audiences. Requires 4+ years in ML platforms with hands-on training and evaluation expertise.
Develops novel reinforcement learning techniques using synthetic environments and feedback to enhance large-scale AI models. Designs experiments, analyzes dynamics, and integrates research into production systems; requires strong RL/ML background and engineering skills.
Research Engineer develops and experiments with multimodal world models, focusing on data strategies, training techniques, evaluations, and production deployment for AI simulation technologies. Requires 4+ years in ML research/engineering and proficiency in PyTorch or JAX.
Backend engineer building developer tools for AI infrastructure at scale, focusing on new workflows for LLMs and diffusion models. Requires full-stack experience with Python, TypeScript, ClickHouse, and onsite work in NYC or SF.