Develops pricing frameworks and strategies for Stripe's product portfolio, builds financial models to assess pricing impacts, conducts market research and competitive analysis, and aligns cross-functional stakeholders on commercial decisions. Requires 5-7 years experience in pricing or strategy roles.

Produces end-to-end video content for social platforms including Instagram, LinkedIn, YouTube, and TikTok, owning concept through publish. Requires 5-7 years experience, proficiency in editing tools like Premiere Pro, and strong storytelling for brand and creator channels.

Part-time Research Partner acts as industry evangelist for UX research community, creating content, building relationships with prospects and customers, speaking at events, and partnering with sales to drive pipeline and expansion.

Designs and authors context, procedures, skills, and system prompts for AI agents performing autonomous accounting tasks. Ensures consistency, monitors performance, and shapes future capabilities through precise language and systems thinking.

Build scalable infrastructure, integrations, and data platforms powering workforce management and AI agent products at enterprise scale. Requires 5+ years in backend/platform systems, with expertise in AWS, Kubernetes, Go/Python, and datastores like Postgres and Snowflake.

Own go-to-market strategy, positioning, messaging, and launches for a product area. Collaborate cross-functionally to build sales assets, competitive intelligence, and customer education. Requires 4+ years B2B product marketing experience.

Creates on-camera, hands-on educational content for Clay University, covering product launches, live builds, and GTM Engineering workflows. The role requires a proven content portfolio, comfort teaching by doing, strong production judgment, and the ability to ship quickly in an evolving AI environment.

Partners with enterprise customers to evaluate and adopt Cursor, leading technical discovery, demonstrations, proofs of concept, solution design, and onboarding. The role requires strong technical fluency, customer communication, and experience in field engineering, solutions architecture, pre-sales, or enterprise software consulting.

Builds end-to-end backend and full-stack features for financial products, collaborating cross-functionally to enhance customer banking experiences. Requires 4+ years experience in designing, developing, and deploying applications with high engineering standards.

Builds backend and full-stack features for financial products at scale, collaborating cross-functionally to enhance customer banking experiences. Requires 4+ years experience with high engineering standards in design, development, and deployment.

Handles complex, sensitive safety cases for Airbnb customers through multiple contact channels. The role requires at least three years of relevant contact-center or Trust & Safety experience, strong communication and risk-assessment skills, and flexibility for varied shifts.

Le ou la spécialiste gère des dossiers complexes liés à la sécurité de la communauté, évalue les risques et soutient les clients avec empathie et discernement. Le poste exige plus de trois ans d'expérience pertinente, d'excellentes aptitudes de communication et une disponibilité pour des horaires variables.

Field Operations Contractor supports NYC restaurant rollout by installing hardware/software, training staff, troubleshooting issues, and ensuring smooth partner onboarding for Blackbird's loyalty platform. Requires hospitality background, tech-savviness, and NYC base for onsite work.

Designs and builds systems to proactively detect and enforce against product abuse using data science, ML, and investigations. Collaborates cross-functionally on monitoring new/existing products and responding to critical escalations. Requires 4+ years in technical analysis with SQL/Python.

Leads cross-functional engineering team building autonomy toolchain modules like simulation and mission control UI. Drives technical roadmaps, execution, best practices, and collaboration with product/hardware teams. Requires 3-5+ years engineering and 1-2 years leadership experience.

Manages client delivery of reporting, calculations, and workflows for Setpoint's credit infrastructure platform. Translates client needs and legal agreements into operational logic, partners with Product/Engineering, requires 3-5 years capital markets experience.

Designs, builds, and deploys production AI/ML systems for financial operations like invoice matching and payment reconciliation. Requires 5+ years software engineering with 2+ years applied AI/ML, expertise in LLMs, RAG, and Python/PyTorch.

Serves as the right hand to the Managing Partner, owning enterprise client relationships, leading end-to-end AI consulting engagements, presenting to C-suite, and supporting business development in a fast-paced AI advisory firm.

Designs and delivers in-person AI training workshops for senior executives, translating complex concepts like prompt engineering, RAG, agents into practical sessions. Requires deep AI/ML expertise, exceptional presentation skills, and experience with non-technical business audiences.

Build AI-powered full-stack products for fund administration and private markets infrastructure at an engineering-first startup. Own end-to-end development (frontend, backend, infra, AI) with direct collaboration alongside the CTO; requires strong full-stack skills and production LLM/AI experience.

Works directly with automotive OEMs and Tier 1 suppliers to deploy Vehicle OS across middleware, developer tooling, and in-vehicle infotainment. The role requires automotive software experience, customer-facing technical problem solving, programming ability, and familiarity with SDV architectures and protocols.

This customer-facing role architects and deploys simulation, data management, and CI/CD validation solutions for ADAS and autonomous-driving teams at automotive OEMs and Tier 1 suppliers. Candidates need at least three years of relevant development, validation, or simulation experience, automotive testing expertise, and Python or C++ skills.

The Solution Engineer supports pre- and post-sales automotive customer engagements across vehicle operating systems, tooling, simulation, and autonomy products. The role requires at least four years of automotive software or technical customer-engagement experience, strong programming and communication skills, and the ability to manage complex technical programs.

Owns large full-stack features from design through production, building scalable Node.js services and performant Vue.js interfaces. The role requires 4–5+ years of software development experience, architectural expertise, and the ability to mentor engineers and lead projects.

Designs implementation strategies and scopes professional services for enterprise SaaS customers, partnering with sales to close complex deals and ensure smooth handoffs to delivery teams. Requires 5+ years in solutions consulting, professional services, or management consulting with strong process diagnosis skills.

Founding Solutions Engineer partnering with Account Executives on enterprise sales cycles for AI compliance software. Leads technical discovery, builds tailored demos, handles RFPs/security questionnaires, and builds the SE function from 0→1. Requires 3+ years pre-sales experience in B2B SaaS.

Builds and scales core infrastructure including ML training/serving, Kubernetes clusters, and low-latency voice/audio pipelines. Requires 3+ years in infrastructure/ML systems, hands-on reliability engineering, and Kubernetes expertise.

Forward Deployed AI Engineer embeds with enterprise clients to assess AI opportunities, redesign workflows, and implement AI solutions using LLMs, agents, and RAG. Based in Mountain View office between engagements, requires strong AI engineering and client communication skills with travel.

Designs, builds, and operates core cloud security infrastructure and controls for Stripe's engineering teams. Collaborates on secure cloud expansions, threat modeling, and integrations with AWS, Azure, or GCP; requires production software engineering experience and security mindset.

Conducts research on visual perception, multimodal learning, and large-scale AI model training. Designs architectures, builds datasets and evaluations, and collaborates on frontier models. Requires ML expertise, Python proficiency, and experimental rigor.

Drives large-scale research products and programs in AI, coordinating cross-functional teams to translate technical ideas into scoped plans and integrate research into production systems. Requires CS/AI degree and experience in research or product management, thriving in technical, ambiguous environments.

Designs and implements methods for sourcing, curating, and analyzing large-scale pre-training datasets for AI models, blending research with production-grade data engineering. Requires Python proficiency, deep learning frameworks, and strong ML fundamentals.

Develops and tunes post-training recipes for AI models, iterates on evaluations, debugs configurations, scales methodologies, and publishes research to advance collaborative intelligence. Requires Python proficiency, deep learning frameworks, and strong ML fundamentals.

Designs and optimizes distributed training systems scaling across thousands of GPUs for large AI models. Requires strong systems engineering, PyTorch/JAX expertise, and collaborative mindset to boost research productivity.

Designs and optimizes distributed training infrastructure for large-scale LLMs, focusing on low-precision numerics, kernel optimizations, and communication frameworks to enable stable, scalable trillion-parameter model training. Requires strong systems engineering, deep learning frameworks knowledge, and collaborative research mindset.

Designs and optimizes high-performance ML kernels (CUDA, CuTe, Triton) for large-scale LLM training, focusing on GPU efficiency, low-precision formats, and distributed compute. Collaborates with researchers to bridge algorithms and hardware.

Designs, optimizes, and scales infrastructure for high-performance AI model inference, focusing on latency, throughput, efficiency, and reliability. Collaborates with researchers to enable production deployment of large-scale models using deep learning frameworks and distributed systems.

Conducts research to advance audio capabilities in AI models, designing and training large-scale multimodal systems, building audio data pipelines, and publishing findings. Requires ML expertise, Python proficiency, and experience with deep learning frameworks.

Owns and evolves security infrastructure across compute, storage, networking, and data platforms for foundation models. Architects secure patterns, manages identities/secrets, builds threat models, and automates security checks in Kubernetes/cloud environments. Requires strong systems programming and infra experience.

Leads delivery of agentic AI workflows for national security customers, managing relationships, scoping use cases, and coordinating cross-functional teams to exceed AI/ML objectives. Requires TS/SCI clearance, 3+ years stakeholder experience, and onsite availability in DMV area.

Coaches managers on leadership, performance, and team dynamics while designing scalable people systems including compensation, career frameworks, and feedback processes for a high-growth AI research lab.

Deploy enterprise AI agent solutions by identifying customer workflows, shaping use cases and commercial proposals, and driving implementations to measurable outcomes. The role combines technical customer engagement, solution prototyping, enterprise sales collaboration, and delivery ownership, with Mandarin and English fluency required.

Works with Account Executives and enterprise customers to architect integrations, deliver technical demonstrations, and scale customer-facing solutions for a voice AI platform. Requires strong Python and software architecture skills, customer-facing aptitude, and Mandarin/English fluency.

Owns financial operations for a 50-person venture-backed SaaS company, including month-end close, financial statements, SaaS metrics, payroll, audits, and QuickBooks systems. Requires CPA and 5-8 years accounting experience, ideally with SaaS revenue recognition.

Leads a team securing cloud infrastructure, sensitive data, and AI systems in products. Influences engineering roadmaps, embeds security in designs, and manages AI risks like prompt injection and data leakage. Requires 5+ years security engineering and 2+ years leading engineers.

Creates and maintains cohesive brand visual identity, designs marketing materials across channels including digital assets and social graphics. Requires 5+ years brand design experience and expertise in Figma, Adobe Creative Suite.

Drives new Mid-Market client acquisition in LATAM through full sales cycle management, pipeline building, demos, and consultative selling to exceed revenue targets. Requires 4+ years AE experience, 2+ years SaaS sales, Portuguese fluency, and strong quota track record.

Owns doola’s SEO and generative engine optimization strategy to grow paid plan purchases through traditional and AI search. The role requires 4–7+ years of revenue-focused organic growth experience, technical SEO expertise, backlink building, analytics, and cross-functional execution.

Own end-to-end recruiting for sales, marketing, partnerships, and other commercial teams, partnering with senior leaders to build pipelines and improve hiring velocity. The role requires 5+ years of full-cycle recruiting experience, strong outbound sourcing, and sound candidate judgment.

Builds and operates resilient systems for autonomous vehicle fleet reliability, including pipelines for signal analysis, automated triage tools, internal workflows, and leading investigations. Requires production software experience and strong debugging skills in Python, Go, Bash, C++.