Builds and owns core agent execution platform for AI systems automating insurance tasks, including tool orchestration, reliability infrastructure, evals, and developer tools. Requires 4+ years experience with TypeScript/SQL in regulated environments; NYC-based.
Enterprise Account Executive prospects new customers, qualifies leads, and closes complex $250K+ ACV deals using MEDDIC methodology in SaaS/AI space. Requires 5+ years sales experience, quota attainment, and bachelor's degree.
Builds operational infrastructure for AI science research teams, managing contractor networks, partnerships, programs, and product strategy to enable efficient frontier research. Requires technical background in ML/software and experience in research ops or TPM in fast-paced environments.
Leads procurement and strategy for GPU/CPU capacity across hyperscalers, neoclouds, and datacenters. Evaluates suppliers, negotiates contracts, and advises leadership on market trends, requiring deep AI infra knowledge and commercial skills.
Leads development of core platform, workflows, and integrations for AI-powered manufacturing quality platform. Owns end-to-end data processes from ingestion to insights, builds roadmaps integrating customer feedback and strategic initiatives, with 5+ years B2B SaaS product management experience.
Leads product vision and roadmap for AI agentic systems that automate issue detection, root cause analysis, and insights in manufacturing quality data. Requires 3+ years PM experience with 1-2 years in agentic AI solutions and B2B SaaS.
Software Engineer building and scaling retrieval infrastructure for AI models, including indexing, serving, and query execution systems. Partners with researchers to productionize embedding techniques and supports agentic workflows across OpenAI products.
Designs, builds, and maintains Workday integrations and automations for HR workflows like payroll, benefits, and recruiting. Requires 5-10 years Workday engineering experience, Git/CLI proficiency, and ability to connect systems with internal tools and AI.
Builds semantic layers with dbt/SQL, agent tooling for autonomous data querying across Athena/Salesforce, and infrastructure for AI-driven insights on usage-based SaaS metrics. Requires 5+ years in data/AI engineering, SQL/Python mastery, and RAG/agentic systems experience.
Leads technical pre-sales for Voice AI platform, architecting proof-of-concepts, guiding API integrations, and collaborating with sales to close enterprise deals. Requires 5+ years in solutions engineering with strong coding skills in Python or JavaScript.
Build full-stack platforms, tools, and UIs for RL environment creation, data collection at scale, and training observability to improve AI models like Claude. Requires strong Python, modern web stack proficiency, high agency, and ability to ship reliable systems quickly in a fast-paced environment.
Conducts ML research to advance LLMs and audio models for real-time voice AI agents, focusing on reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Conducts ML research on LLMs and audio models to enhance real-time voice agents' reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Owns mid-training for LLMs, optimizing data mixes, synthetic data pipelines, annealing schedules, and context extension to enhance reasoning, coding, and math capabilities for AI agents. Requires deep LLM pipeline expertise, hands-on large model training, and original research contributions.
Leads growth marketing efforts including performance marketing on Google, Meta, and LinkedIn; drives SEO and content creation for key pages and social channels; manages campaigns and shapes brand messaging. Requires independence, creativity, resourcefulness, and mission alignment with AI customer experiences.
Owns and closes complex enterprise SaaS deals for Voice AI platform using MEDDPICC qualification and value-based selling. Requires 4-8 years full-cycle sales experience with $100k+ ACV deals and technical buyer engagement.
Drives net new revenue by managing full sales cycles for Voice AI platform to mid-market organizations, including outbound prospecting, demos, and multi-threading stakeholders. Requires 2-5 years full-cycle SaaS experience with technical products and proven quota attainment.
Prospect and qualify leads through cold outreach to drive pipeline and pass meetings to Account Executives for a startup building AI-phone agents. Requires 1+ year SaaS BDR experience, startup mindset, and comfort with technical sales.
Partners with sales team on technical discovery, demos, and POCs for voice AI prospects. Translates customer needs into solutions, answers technical questions on APIs/telephony/integrations, and builds demo environments. Requires 3+ years pre-sales experience and hands-on technical skills.
Builds and manages channel partner ecosystem from scratch, recruiting resellers, tech partners, and agencies. Defines strategy, creates enablement materials, tracks pipeline, and drives partner-sourced revenue. Requires 4+ years in channel sales or partner management.
Owns full-cycle enterprise sales for voice AI platform targeting call centers, sourcing pipeline via network/outbound, leading discovery on call flows/compliance, and driving structured closes with technical stakeholders. Requires 5+ years closing experience and existing book of business with call center operators.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems at component, system, mission, and campaign levels to evaluate effectiveness and survivability. Collaborates with engineering and DoD stakeholders; requires 9+ years experience and active Secret clearance.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems to evaluate performance, survivability, and mission impact in military scenarios. Requires 7+ years in defense/aerospace analysis, Bachelor's in STEM, and US security clearance.
Manages post-sale relationships with enterprise customers running high-volume AI voice agents, driving retention, expansion, and satisfaction through executive engagement, business reviews, and usage optimization. Requires 4+ years in account management with $100K+ ARR accounts and technical product familiarity.
Onboards and supports SMB/mid-market customers for voice AI platform, running demos, troubleshooting issues, monitoring account health, and driving retention/expansion. Requires 1-3 years customer-facing experience and ability to explain technical products simply.
Leads failure analysis investigations for avionics hardware including PCBAs, harnesses, and interconnects. Performs root cause analysis using structured methods and drives corrective actions. Requires 8+ years in aerospace/defense hardware reliability and hands-on FA techniques.
Designs datasets and evaluation frameworks for frontier AI models, collaborating with top labs to expose failure modes, refine RLHF/RLVR pipelines, and measure data impact on capabilities. Requires strong quantitative skills, familiarity with LLM training, and research experience up to master's level.
Design and run SFT/RL experiments to measure dataset impact on LLM performance, capabilities, and alignment. Collaborate with labs to provide evidence of improvements; requires strong LLM training knowledge and fast experimentation, ideally undergrad/master's research background.
Forward Deployed Research Scientist collaborates with frontier AI labs on data strategies, fine-tunes open-weight LLMs, runs ablation studies, and validates data impact for client projects. Requires MS/PhD in ML/NLP/CS, hands-on LLM fine-tuning, and fast-paced experimental rigor.
Leads AI transformation for Fortune 100 customers, building C-suite relationships, driving ROI realization, and orchestrating cross-functional programs to deliver measurable P&L impact. Requires 5-9 years in strategic account management or consulting with strong change management expertise.
Leads AI transformation for Fortune 100 customers, building C-suite relationships, driving ROI through strategic frameworks, and orchestrating cross-functional programs for enterprise AI adoption. Requires 10+ years in consulting or account management with change management expertise.
Leads AI transformation for Fortune 100 customers, building C-suite relationships, driving ROI realization, and orchestrating cross-functional programs to deliver measurable business impact. Requires 10+ years in strategic consulting or account management with strong change management expertise.
Leads AI transformation for Fortune 100 customers, managing strategic accounts, building C-suite relationships, and driving ROI through change management and cross-functional programs. Requires 5-9 years in consulting or account management with proven executive influence.
Leads AI platform adoption for enterprise customers by embedding in their organizations, designing activation strategies, building champion communities, and delivering customized workshops to drive measurable business outcomes. Requires 9+ years in customer success with AI/technical proficiency.
Drives enterprise AI platform adoption by embedding in customer organizations, designing activation strategies, building champion networks, and leading customized workshops to achieve measurable business outcomes. Requires 5+ years customer success experience and AI proficiency.
Leads AI platform adoption and activation for enterprise customers by building champion networks, delivering customized workshops, and driving measurable business outcomes through strategic programs and deep stakeholder relationships. Requires 9+ years in customer success with AI/technical proficiency.
Software engineering intern contributes to Next.js + Python stack, prototypes LLM-powered workflows, and builds retrieval pipelines over enterprise datasets. Requires solid programming foundations, Python/TypeScript proficiency, and onsite presence in NYC.
Builds and maintains full-stack web applications with React/Next.js, integrates backend APIs and voice AI systems, optimizes performance, and owns UI/UX. Requires 5+ years experience, strong full-stack skills, and TypeScript proficiency in a fast-paced onsite environment.
Build partner marketing and customer advocacy for ElevenAgents enterprise platform. Run co-marketing programs, create case studies, foster advocacy among customers and partners in high-growth B2B environment, measuring impact to leadership.
Owns product strategy and roadmap for enterprise AI data curation platform, translating ML research into shippable features. Partners with research, engineering, and sales; requires 5+ years PM experience in AI/ML tooling and strong technical foundation in ML pipelines.
Owns full-cycle recruiting for GTM roles (sales, marketing, growth, partnerships, ops) from sourcing to close. Partners with leaders to define roles, improve processes, and hire top talent at a fast-scaling AI startup. Requires 4+ years experience in GTM recruiting.
Own full-cycle recruiting for engineering and AI teams, sourcing and closing top technical talent while partnering with leaders to refine hiring processes and evaluation standards. Requires 4+ years experience hiring engineers with strong assessment skills.
Owns and evolves marketing systems, data processes, and performance reporting using tools like HubSpot and Salesforce. Partners with Marketing, RevOps, and Sales to scale operations in a high-growth B2B SaaS environment, requiring 6-10 years experience.
Designs datasets, evaluation rubrics, and reward signals for RLHF/RLVR pipelines to expose model failure modes and improve frontier AI capabilities. Partners with AI labs; requires 1-4 YOE and passion for data-driven model behavior.
Builds and owns platform infrastructure from scratch including CI/CD, Terraform, AWS services, monitoring, SSO, and APIs for a scaling sales coaching startup. Requires deep experience in cloud infra, IaC, containers, databases, and observability.
Leads internal communications strategy and employer branding at a high-growth AI music company, partnering with C-suite to shape culture, navigate change, and attract talent through innovative storytelling across channels. Requires 10+ years experience building comms programs from scratch.
Senior Data Analyst architects and optimizes data-driven AML/fraud detection models, builds dashboards and reporting for compliance, and supports regulatory requirements using Python, SQL, and ML. Requires 7+ years experience in financial crime analytics and Master's in quantitative field.
Builds measurement, evaluation, and feedback infrastructure for AI agent quality. Designs datasets, pipelines, dashboards, and analysis tools to improve agent reliability, partnering with research and product teams. Requires strong data acumen and software engineering skills.
Founding Engineer builds knowledge engines, multimodal agents, voice AI, and codegen systems for complex physical product support. Owns end-to-end customer deployments in fast-paced startup environment.
Handles core business operations including FP&A workflows, treasury, vendor negotiations, and internal tooling. Supports investor relations; AI-native with experience scaling startups and building tools via chat interfaces.
Builds and owns core agent execution platform for AI systems automating insurance tasks, including tool orchestration, reliability infrastructure, evals, and developer tools. Requires 4+ years experience with TypeScript/SQL in regulated environments; NYC-based.
Enterprise Account Executive prospects new customers, qualifies leads, and closes complex $250K+ ACV deals using MEDDIC methodology in SaaS/AI space. Requires 5+ years sales experience, quota attainment, and bachelor's degree.
Builds operational infrastructure for AI science research teams, managing contractor networks, partnerships, programs, and product strategy to enable efficient frontier research. Requires technical background in ML/software and experience in research ops or TPM in fast-paced environments.
Leads procurement and strategy for GPU/CPU capacity across hyperscalers, neoclouds, and datacenters. Evaluates suppliers, negotiates contracts, and advises leadership on market trends, requiring deep AI infra knowledge and commercial skills.
Leads development of core platform, workflows, and integrations for AI-powered manufacturing quality platform. Owns end-to-end data processes from ingestion to insights, builds roadmaps integrating customer feedback and strategic initiatives, with 5+ years B2B SaaS product management experience.
Leads product vision and roadmap for AI agentic systems that automate issue detection, root cause analysis, and insights in manufacturing quality data. Requires 3+ years PM experience with 1-2 years in agentic AI solutions and B2B SaaS.
Software Engineer building and scaling retrieval infrastructure for AI models, including indexing, serving, and query execution systems. Partners with researchers to productionize embedding techniques and supports agentic workflows across OpenAI products.
Designs, builds, and maintains Workday integrations and automations for HR workflows like payroll, benefits, and recruiting. Requires 5-10 years Workday engineering experience, Git/CLI proficiency, and ability to connect systems with internal tools and AI.
Builds semantic layers with dbt/SQL, agent tooling for autonomous data querying across Athena/Salesforce, and infrastructure for AI-driven insights on usage-based SaaS metrics. Requires 5+ years in data/AI engineering, SQL/Python mastery, and RAG/agentic systems experience.
Leads technical pre-sales for Voice AI platform, architecting proof-of-concepts, guiding API integrations, and collaborating with sales to close enterprise deals. Requires 5+ years in solutions engineering with strong coding skills in Python or JavaScript.
Build full-stack platforms, tools, and UIs for RL environment creation, data collection at scale, and training observability to improve AI models like Claude. Requires strong Python, modern web stack proficiency, high agency, and ability to ship reliable systems quickly in a fast-paced environment.
Conducts ML research to advance LLMs and audio models for real-time voice AI agents, focusing on reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Conducts ML research on LLMs and audio models to enhance real-time voice agents' reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Owns mid-training for LLMs, optimizing data mixes, synthetic data pipelines, annealing schedules, and context extension to enhance reasoning, coding, and math capabilities for AI agents. Requires deep LLM pipeline expertise, hands-on large model training, and original research contributions.
Leads growth marketing efforts including performance marketing on Google, Meta, and LinkedIn; drives SEO and content creation for key pages and social channels; manages campaigns and shapes brand messaging. Requires independence, creativity, resourcefulness, and mission alignment with AI customer experiences.
Owns and closes complex enterprise SaaS deals for Voice AI platform using MEDDPICC qualification and value-based selling. Requires 4-8 years full-cycle sales experience with $100k+ ACV deals and technical buyer engagement.
Drives net new revenue by managing full sales cycles for Voice AI platform to mid-market organizations, including outbound prospecting, demos, and multi-threading stakeholders. Requires 2-5 years full-cycle SaaS experience with technical products and proven quota attainment.
Prospect and qualify leads through cold outreach to drive pipeline and pass meetings to Account Executives for a startup building AI-phone agents. Requires 1+ year SaaS BDR experience, startup mindset, and comfort with technical sales.
Partners with sales team on technical discovery, demos, and POCs for voice AI prospects. Translates customer needs into solutions, answers technical questions on APIs/telephony/integrations, and builds demo environments. Requires 3+ years pre-sales experience and hands-on technical skills.
Builds and manages channel partner ecosystem from scratch, recruiting resellers, tech partners, and agencies. Defines strategy, creates enablement materials, tracks pipeline, and drives partner-sourced revenue. Requires 4+ years in channel sales or partner management.
Owns full-cycle enterprise sales for voice AI platform targeting call centers, sourcing pipeline via network/outbound, leading discovery on call flows/compliance, and driving structured closes with technical stakeholders. Requires 5+ years closing experience and existing book of business with call center operators.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems at component, system, mission, and campaign levels to evaluate effectiveness and survivability. Collaborates with engineering and DoD stakeholders; requires 9+ years experience and active Secret clearance.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems to evaluate performance, survivability, and mission impact in military scenarios. Requires 7+ years in defense/aerospace analysis, Bachelor's in STEM, and US security clearance.
Manages post-sale relationships with enterprise customers running high-volume AI voice agents, driving retention, expansion, and satisfaction through executive engagement, business reviews, and usage optimization. Requires 4+ years in account management with $100K+ ARR accounts and technical product familiarity.
Onboards and supports SMB/mid-market customers for voice AI platform, running demos, troubleshooting issues, monitoring account health, and driving retention/expansion. Requires 1-3 years customer-facing experience and ability to explain technical products simply.
Leads failure analysis investigations for avionics hardware including PCBAs, harnesses, and interconnects. Performs root cause analysis using structured methods and drives corrective actions. Requires 8+ years in aerospace/defense hardware reliability and hands-on FA techniques.
Designs datasets and evaluation frameworks for frontier AI models, collaborating with top labs to expose failure modes, refine RLHF/RLVR pipelines, and measure data impact on capabilities. Requires strong quantitative skills, familiarity with LLM training, and research experience up to master's level.
Design and run SFT/RL experiments to measure dataset impact on LLM performance, capabilities, and alignment. Collaborate with labs to provide evidence of improvements; requires strong LLM training knowledge and fast experimentation, ideally undergrad/master's research background.
Forward Deployed Research Scientist collaborates with frontier AI labs on data strategies, fine-tunes open-weight LLMs, runs ablation studies, and validates data impact for client projects. Requires MS/PhD in ML/NLP/CS, hands-on LLM fine-tuning, and fast-paced experimental rigor.
Leads AI transformation for Fortune 100 customers, building C-suite relationships, driving ROI realization, and orchestrating cross-functional programs to deliver measurable P&L impact. Requires 5-9 years in strategic account management or consulting with strong change management expertise.
Leads AI transformation for Fortune 100 customers, building C-suite relationships, driving ROI through strategic frameworks, and orchestrating cross-functional programs for enterprise AI adoption. Requires 10+ years in consulting or account management with change management expertise.
Leads AI transformation for Fortune 100 customers, building C-suite relationships, driving ROI realization, and orchestrating cross-functional programs to deliver measurable business impact. Requires 10+ years in strategic consulting or account management with strong change management expertise.
Leads AI transformation for Fortune 100 customers, managing strategic accounts, building C-suite relationships, and driving ROI through change management and cross-functional programs. Requires 5-9 years in consulting or account management with proven executive influence.
Leads AI platform adoption for enterprise customers by embedding in their organizations, designing activation strategies, building champion communities, and delivering customized workshops to drive measurable business outcomes. Requires 9+ years in customer success with AI/technical proficiency.
Drives enterprise AI platform adoption by embedding in customer organizations, designing activation strategies, building champion networks, and leading customized workshops to achieve measurable business outcomes. Requires 5+ years customer success experience and AI proficiency.
Leads AI platform adoption and activation for enterprise customers by building champion networks, delivering customized workshops, and driving measurable business outcomes through strategic programs and deep stakeholder relationships. Requires 9+ years in customer success with AI/technical proficiency.
Software engineering intern contributes to Next.js + Python stack, prototypes LLM-powered workflows, and builds retrieval pipelines over enterprise datasets. Requires solid programming foundations, Python/TypeScript proficiency, and onsite presence in NYC.
Builds and maintains full-stack web applications with React/Next.js, integrates backend APIs and voice AI systems, optimizes performance, and owns UI/UX. Requires 5+ years experience, strong full-stack skills, and TypeScript proficiency in a fast-paced onsite environment.
Build partner marketing and customer advocacy for ElevenAgents enterprise platform. Run co-marketing programs, create case studies, foster advocacy among customers and partners in high-growth B2B environment, measuring impact to leadership.
Owns product strategy and roadmap for enterprise AI data curation platform, translating ML research into shippable features. Partners with research, engineering, and sales; requires 5+ years PM experience in AI/ML tooling and strong technical foundation in ML pipelines.
Owns full-cycle recruiting for GTM roles (sales, marketing, growth, partnerships, ops) from sourcing to close. Partners with leaders to define roles, improve processes, and hire top talent at a fast-scaling AI startup. Requires 4+ years experience in GTM recruiting.
Own full-cycle recruiting for engineering and AI teams, sourcing and closing top technical talent while partnering with leaders to refine hiring processes and evaluation standards. Requires 4+ years experience hiring engineers with strong assessment skills.
Owns and evolves marketing systems, data processes, and performance reporting using tools like HubSpot and Salesforce. Partners with Marketing, RevOps, and Sales to scale operations in a high-growth B2B SaaS environment, requiring 6-10 years experience.
Designs datasets, evaluation rubrics, and reward signals for RLHF/RLVR pipelines to expose model failure modes and improve frontier AI capabilities. Partners with AI labs; requires 1-4 YOE and passion for data-driven model behavior.
Builds and owns platform infrastructure from scratch including CI/CD, Terraform, AWS services, monitoring, SSO, and APIs for a scaling sales coaching startup. Requires deep experience in cloud infra, IaC, containers, databases, and observability.
Leads internal communications strategy and employer branding at a high-growth AI music company, partnering with C-suite to shape culture, navigate change, and attract talent through innovative storytelling across channels. Requires 10+ years experience building comms programs from scratch.
Senior Data Analyst architects and optimizes data-driven AML/fraud detection models, builds dashboards and reporting for compliance, and supports regulatory requirements using Python, SQL, and ML. Requires 7+ years experience in financial crime analytics and Master's in quantitative field.
Builds measurement, evaluation, and feedback infrastructure for AI agent quality. Designs datasets, pipelines, dashboards, and analysis tools to improve agent reliability, partnering with research and product teams. Requires strong data acumen and software engineering skills.
Founding Engineer builds knowledge engines, multimodal agents, voice AI, and codegen systems for complex physical product support. Owns end-to-end customer deployments in fast-paced startup environment.
Handles core business operations including FP&A workflows, treasury, vendor negotiations, and internal tooling. Supports investor relations; AI-native with experience scaling startups and building tools via chat interfaces.