Founding sales leader owning full-cycle sales of AI infrastructure platform to mid-market and enterprise AI teams in NYC. Builds brand, network, and pipeline from scratch while driving high-impact deals with technical buyers. Requires 2-5 years B2B SaaS closing experience.

Designs and deploys production-grade AI infrastructure and agent systems for enterprise customers. The role combines cloud and Kubernetes architecture, agent development, technical assessments, and customer-facing implementation guidance.

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 responsible for prospecting, qualifying leads, managing sales cycles with MEDDIC, negotiating and closing complex $250K+ ACV deals in AI/ML and big data. Requires 5+ years SaaS/Big Data sales experience, executive relationships, and quota attainment in fast-growing startups.

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.

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.

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.

Own post-sales success for Bland AI's voice AI phone agents. Drive customer outcomes, troubleshoot with engineers, guide on best practices, and identify expansion opportunities for enterprise clients. Requires 5+ years technical customer-facing experience, API/integration fluency, and strong communication skills.

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.

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.

Drives strategic enterprise sales and successful AI deployments for major Financial Services accounts in Southeast Asia. The role requires 10+ years of SaaS/PaaS sales experience, complex deal leadership, executive engagement, and a track record of exceeding $2M annual revenue targets.

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.

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 production systems and data pipelines that turn evaluation signals into durable datasets, replayable product simulations, and trusted verdicts for Search and Product teams. The role requires 3+ years of software engineering experience, Python and SQL proficiency, distributed data systems expertise, and AWS or lakehouse experience.

Build and optimize the production inference infrastructure powering large-scale language and multimodal models. The role requires 3+ years of software engineering experience, deep GPU performance expertise, distributed-systems experience, and proficiency across Rust, Python, and CUDA-based tooling.

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 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.

Own and grow Zilliz’s enterprise sales territory in South Korea by prospecting, managing complex sales cycles, closing high-value deals, and expanding customer relationships. The role requires at least five years of SaaS, PaaS, or Big Data sales experience and a proven enterprise quota track record.

The People Business Partner will lead HR programs, advise managers, and shape workforce, performance, and organizational strategies across an international company. The role requires at least five years of progressive HR or People Operations experience, Workday expertise, European HR knowledge, and native-level German with fluent English.

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.

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.

Owns post-sales customer success for AI phone agents, driving deployments, ROI, expansions, and troubleshooting with technical expertise. Requires 5+ years in technical customer-facing roles, API/SQL fluency, and cross-functional collaboration.

Customer Deployment Engineer builds POCs, owns customer onboarding and design partnerships to accelerate value, shapes product roadmap from use cases, and improves scalable processes for AI platform customers. Requires customer obsession, technical capability, and high ownership.

Owns end-to-end production-critical infrastructure for analytics platform, building performant backend systems in Rust or C++ and operating distributed services at scale on Kubernetes. Requires strong systems experience in performance optimization, debugging, and on-call reliability.

Builds and scales value engineering function, partnering with Sales to create data-driven business cases and ROI models for enterprise deals. Translates platform capabilities into quantified business impact for executive stakeholders, requiring 6+ years in value engineering or related fields.

Leads end-to-end sales cycles for AI developer tools targeting mid-market enterprises, engaging C-level and technical stakeholders to close complex deals. Requires 3+ years sales experience, technical aptitude, and proven quota attainment.

Leads strategic partnerships with AI strategics, clouds, and platform partners like Nvidia and Anthropic. Owns roadmaps, deal execution, revenue targets, and cross-functional collaboration in hypergrowth tech environment. Requires 6+ years experience and C-suite engagement skills.

Build analytical frameworks and experiments to optimize user discovery, engagement with content/social features, and creator success on a music platform. Requires 5+ years in data science, SQL/Python proficiency, and strategic insight into content ecosystems.

Develops and optimizes enterprise search infrastructure using NLP, RAG, vector databases, and ranking algorithms. Requires 5+ years in search/recommendation systems, Master's in CS, expertise in Python/C++ and LLMs.

Security Engineer conducts code reviews, implements secure CI/CD pipelines, performs SAST/DAST testing, and secures AWS infrastructure using Terraform. Requires expertise in TypeScript, Python, NodeJS, and product security best practices to mitigate vulnerabilities in AI/ML products.

Secures large cloud environments (AWS, Azure, GCP), orchestrates and secures compute/GPU clusters, and reviews infrastructure as code like Terraform. Requires expertise in cloud security, Kubernetes, NodeJS/TypeScript, and IaC tools.

Build full-stack growth, ecosystem, and monetization systems that improve activation, retention, distribution, discovery, and revenue for Lovable and apps built on its platform. The role requires 5+ years of experience, strong product and UX judgment, and expertise in experimentation and analytics.

Build and scale security foundations for Decagon's AI customer experience platform, implementing controls, tooling, detection pipelines, and partnering with engineering teams. Requires 3+ years security engineering with strong coding skills and cloud experience, ideally Google Cloud; onsite in San Francisco.

Fellows develop and optimize ML systems and performance infrastructure for AI models, focusing on scaling, efficiency, and reliability in a remote-friendly program.

Fellows conduct research on AI safety, collaborating with Anthropic researchers to develop evaluation methods and alignment techniques. Requires strong interest in AI safety, CS/math background, and ML experience.

Drives the full sales and capture lifecycle for Hivemind autonomy solutions across U.S. defense and government accounts. The role requires 10–15+ years of complex-domain sales or business development experience, defense acquisition expertise, technical credibility, and a bachelor’s degree.

Generate outbound pipeline and qualify prospects for the enterprise sales team at an AI platform for investors and bankers. Requires 1+ year of sales development experience and a bachelor's degree.