Infrastructure engineer scales multi-cluster, multi-cloud systems handling millions of concurrent voice calls to 100s of millions, owning services like Anycast routers and GPU clusters. Requires experience scaling massive resilient systems from Series B+ stages.
Provides technical support to government customers, troubleshooting complex AI product issues under FedRAMP, scripting automations with Python/OpenAI tools, and partnering cross-functionally to scale operations. Requires 8+ years experience and expert problem-solving.
Leads safety systems engineering programs at OpenAI, managing risks, data/compute infrastructure, and stakeholder coordination to ensure safe model deployments. Requires technical expertise, project delivery track record, and knowledge of content moderation in fast-paced environments.
Designs and optimizes build systems, CI/CD pipelines, and developer tooling in a Bazel monorepo. Enables AI-powered productivity tools like GitHub Copilot to boost engineering velocity and reduce workflow friction.
Drives new logo acquisition and expansion for Glean's Work AI platform in the Bay Area, owning full sales cycle from pipeline generation to close in complex multi-stakeholder deals with C-level executives. Requires 6+ years sales experience closing technical SaaS deals and building ROI cases.
Build scalable, secure backend infrastructure for enterprise AI platform, owning problems from design to production. Requires 3+ years experience in distributed systems or cloud-native apps, strong coding in Go/Python/Java/C++, and BS in CS.
Product Manager leading development of agent security, governance, and observability features for AI agents. Requires 8+ years in enterprise SaaS PM with focus on security, trust, identity; strong technical background in UX/API products.
Owns Glean Model Hub as PM: evaluates LLMs, defines portfolio roadmap, manages provider relationships, and drives customer enablement for AI experimentation. Requires 4+ years PM experience in enterprise SaaS with AI/ML focus and strong technical background.
Builds and owns greenfield backend features including scalable REST APIs and distributed CRUD systems. Collaborates cross-functionally to deliver user-facing product enhancements using Golang/Java, SQL/NoSQL.
Build polished React-based user interfaces for enterprise AI platform, collaborating with designers and backend teams. Requires 4+ years web app experience, TypeScript comfort, and passion for high-performance web tech; hybrid in SF Bay Area.
Fullstack Software Engineer owning greenfield features from inception to launch, building scalable frontend (React/TypeScript) and backend (Golang/Java, REST APIs, SQL/NoSQL) for enterprise Work AI platform. Collaborates cross-functionally in hybrid SF/Palo Alto environment; requires CS degree.
Build and maintain ML evaluation benchmarks and metrics to identify model weaknesses on unstructured enterprise data like PDFs and spreadsheets. Collaborate with ML teams to drive improvements using Python tools and data infrastructure.
Own full-cycle recruiting for GTM technical roles at a high-growth AI startup, partnering with founders to build talent pipelines and scalable hiring processes. Requires 4+ years GTM recruiting experience, strong sourcing, and autonomy.
Executes high-ownership special projects end-to-end in a fast startup, working directly with leadership on highest-leverage initiatives. Requires experience running complex projects, outreach tools proficiency, strong design/presentation/writing skills, and scrappiness in novel challenges.
Leads end-to-end propulsion test campaigns for low-bypass turbofan-powered UAV, including test stand design, instrumentation, execution, data analysis, and flight readiness. Requires 5+ years in engine testing, hands-on experience with test cells/DAQ, and Python proficiency.
Designs and releases propulsion hardware for UAV turbofan engines, including CAD modeling in Siemens NX, analysis with ANSYS/FEA, and collaboration with production/test teams. Requires 5+ years aerospace experience and bachelor's in engineering.
Manages day-to-day operations by monitoring KPIs, optimizing processes, automating systems, ensuring compliance, and collaborating across departments to support business scaling and efficiency.
Senior Quantum Engineer designs, executes, and interprets experiments on superconducting qubit systems to improve performance and scalability. Requires PhD in Physics or related field with extensive hands-on qubit experience and strong gate design expertise.
Develops superconducting quantum processors by characterizing qubits and gates, implementing measurement techniques, and collaborating on hardware integration for scalable quantum computing. Requires PhD in Physics or equivalent with expertise in quantum control and Python.
Conducts research on efficient AI systems focusing on real-time adaptation, model efficiency, and cross-stack optimization. Requires PhD or equivalent, 4-5+ years industry experience, and deep ML expertise including PyTorch/JAX and optimization techniques.
Develops advanced perception and localization algorithms for tractor-mounted AI camera systems on farms, fusing sensor data like stereo depth and GNSS for precise positioning. Requires 4+ years in robotics with expertise in computer vision and edge-optimized Python/C++ code.
Builds scalable ML training systems and infrastructure for speech AI models (STT/TTS), prototypes novel ideas with researchers, and creates internal tools for cross-functional teams. Requires strong ML research pipeline experience, especially in speech domains, plus orchestration tools expertise.
Senior ML Engineer builds scalable ETL pipelines, develops ML infrastructure for training/evaluation/inference on cloud/edge, and integrates CV models for analyzing farm images from tractor cameras. Requires 5+ years experience with Python, PyTorch/TensorFlow, data engineering tools, and cloud platforms.
Coordinates cross-functional teams in operations, supply chain, field deployments, and project management for an ag-tech startup building AI farming systems. Requires 1-3 years experience, high agency, and fluency in modern ops tools.
Build scalable ETL pipelines and ML infrastructure for processing massive farm image datasets from tractor-mounted cameras. Develop edge-deployed computer vision models for yield estimation, disease detection, and crop analysis using PyTorch and cloud tools, with 2+ years experience.
Develops perception and localization algorithms for tractor-mounted AI camera systems on farms, fusing sensor data like stereo depth and GNSS for precise positioning. Requires 2+ years in robotics with expertise in computer vision and edge-optimized Python/C++ code.
Lead engineering team building and operating hyperscale online data systems including databases, indexing, and vector search for OpenAI's AI applications. Requires deep expertise in distributed systems, operational excellence, and managing data-intensive teams.
Builds and owns agent-facing surfaces like CLIs, MCP servers, SDKs, and integrations for Reducto’s document processing tool, ensuring seamless use by AI agents and developers. Requires 2+ years in software engineering with strong Python/TypeScript and AI agent experience.
Leads M&A, joint ventures, investments, and strategic transactions full lifecycle, including structuring, negotiation, due diligence, and execution. Provides strategic advice to business teams; requires 8+ years transactional experience and CA bar qualification.
Lead development of Context Hub, an open-source CLI for AI agents to access up-to-date API docs. Own technical direction, build infrastructure for intelligent retrieval and community features, requiring 3+ years experience, TypeScript/Node.js proficiency, and strong LLM/AI agent knowledge.
Strategic Solutions Engineer partners with sales to architect generative AI solutions, create custom demos, and integrate Decagon's AI platform into enterprise ecosystems. Requires 4-6 years pre-sales experience and strong communication skills.
Technical lead evaluating hardware platforms and co-designing transformer models for on-device deployment. Leads team building low-level inference stack, optimizing for latency, memory, and power constraints. Requires deep experience with accelerators, transformers, and performance-critical ML software.
Translates product user stories into detailed, testable engineering requirements for Hivemind autonomy SDK. Collaborates across teams for requirements management, analysis, validation, systems modeling using SysML, and lifecycle traceability in robotics/autonomy systems. Requires 7+ years systems engineering experience and bachelor's degree.
Customer Success Engineer drives adoption and expansion of voice AI APIs for enterprise customers through technical expertise, demos, troubleshooting, and relationship building with developers and executives. Requires 7-10+ years in technical customer success or sales engineering at API-driven tech companies.
Owns product outcomes for enterprise AI deployments, builds trust with C-level stakeholders, drives production readiness, and feeds high-signal input to platform teams. Requires 6+ years in product/technical roles with enterprise shipping experience.
Forward Deployed Engineer embeds with customer teams to build and own production-grade AI-powered coding workflows using Cursor, from discovery to iteration and integration back into the core product. Requires strong Python/TS skills, end-to-end ownership, and production reliability experience.
Owns post-sale success for enterprise customers, driving AI tool adoption, retention, and expansion. Partners with engineering leaders to lead rollouts, demonstrate ROI, and influence product roadmap using customer insights and data.
Conduct research and build foundational ML models for structured and tabular data, combining statistical learning theory, probabilistic modeling, and large-scale systems. Requires a PhD and strong experience in tabular/relational ML.
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.
Leads go-to-market strategies, product launches, and lifecycle marketing (email, push, in-app) for a fintech platform. Partners with Product/Engineering; requires 5-8+ years experience, data-driven growth mindset, and strong communication skills.
Customer Success Manager owns onboarding, training, deployment, and support for ag-tech customers (fruit/nut farmers), ensuring product success through daily communication, issue resolution, and feedback to engineering. Requires agtech experience, strong communication, organization, and travel comfort.
Owns full sales cycle for enterprise accounts, prospecting to closing deals for AI-powered user research platform. Builds executive relationships, demonstrates value, and exceeds revenue goals in fast-paced startup.
Solutions Architect designs and deploys scalable AI infrastructure and agent systems for enterprise customers, combining platform engineering, agent development, and customer engagement. Requires 7+ years experience with Kubernetes, cloud platforms, LLM frameworks like LangChain, and strong communication skills.
Designs and deploys scalable AI infrastructure and multi-agent systems for enterprise customers using Kubernetes, cloud platforms, and LangChain/LangGraph. Requires 7+ years customer-facing technical experience and strong infra/AI engineering skills.
Solutions Architect designs and deploys scalable AI infrastructure and multi-agent systems for enterprise customers, combining platform engineering, agent development, and customer engagement. Requires 7+ years experience with Kubernetes, cloud platforms, and LLM frameworks.
Co-builds and deploys production AI agents with customers using LangChain tools, owns pre-sales technical wins, and provides post-sale architecture advice. Requires 3+ years experience, strong Python/JavaScript, and agent-based application design skills.
Deployed Engineer co-architects and builds production AI agents with customers, owns technical wins in pre-sales, and advises on deployment and operations. Requires 3+ years experience, strong Python/JavaScript, and expertise in agent-based LLM applications.
Leads end-to-end technical delivery of complex AI systems to customers, translating business goals into execution plans, managing cross-team coordination, and driving adoption. Requires 7+ years in customer-facing technical leadership with AI/LLM shipping experience.
Leads end-to-end delivery of large-scale GPU clusters and compute infrastructure, managing hardware, networking, power, cooling across partners. Requires 5+ years program management in hyperscaler infrastructure and technical expertise partnering with engineering teams.
Leads structural design and analysis for hyperscale data centers, ensuring seismic resilience, vibration control, and integration with MEP systems. Requires 10+ years experience, PE license, and proficiency in tools like ETABS, RISA, and Revit.
Infrastructure engineer scales multi-cluster, multi-cloud systems handling millions of concurrent voice calls to 100s of millions, owning services like Anycast routers and GPU clusters. Requires experience scaling massive resilient systems from Series B+ stages.
Provides technical support to government customers, troubleshooting complex AI product issues under FedRAMP, scripting automations with Python/OpenAI tools, and partnering cross-functionally to scale operations. Requires 8+ years experience and expert problem-solving.
Leads safety systems engineering programs at OpenAI, managing risks, data/compute infrastructure, and stakeholder coordination to ensure safe model deployments. Requires technical expertise, project delivery track record, and knowledge of content moderation in fast-paced environments.
Designs and optimizes build systems, CI/CD pipelines, and developer tooling in a Bazel monorepo. Enables AI-powered productivity tools like GitHub Copilot to boost engineering velocity and reduce workflow friction.
Drives new logo acquisition and expansion for Glean's Work AI platform in the Bay Area, owning full sales cycle from pipeline generation to close in complex multi-stakeholder deals with C-level executives. Requires 6+ years sales experience closing technical SaaS deals and building ROI cases.
Build scalable, secure backend infrastructure for enterprise AI platform, owning problems from design to production. Requires 3+ years experience in distributed systems or cloud-native apps, strong coding in Go/Python/Java/C++, and BS in CS.
Product Manager leading development of agent security, governance, and observability features for AI agents. Requires 8+ years in enterprise SaaS PM with focus on security, trust, identity; strong technical background in UX/API products.
Owns Glean Model Hub as PM: evaluates LLMs, defines portfolio roadmap, manages provider relationships, and drives customer enablement for AI experimentation. Requires 4+ years PM experience in enterprise SaaS with AI/ML focus and strong technical background.
Builds and owns greenfield backend features including scalable REST APIs and distributed CRUD systems. Collaborates cross-functionally to deliver user-facing product enhancements using Golang/Java, SQL/NoSQL.
Build polished React-based user interfaces for enterprise AI platform, collaborating with designers and backend teams. Requires 4+ years web app experience, TypeScript comfort, and passion for high-performance web tech; hybrid in SF Bay Area.
Fullstack Software Engineer owning greenfield features from inception to launch, building scalable frontend (React/TypeScript) and backend (Golang/Java, REST APIs, SQL/NoSQL) for enterprise Work AI platform. Collaborates cross-functionally in hybrid SF/Palo Alto environment; requires CS degree.
Build and maintain ML evaluation benchmarks and metrics to identify model weaknesses on unstructured enterprise data like PDFs and spreadsheets. Collaborate with ML teams to drive improvements using Python tools and data infrastructure.
Own full-cycle recruiting for GTM technical roles at a high-growth AI startup, partnering with founders to build talent pipelines and scalable hiring processes. Requires 4+ years GTM recruiting experience, strong sourcing, and autonomy.
Executes high-ownership special projects end-to-end in a fast startup, working directly with leadership on highest-leverage initiatives. Requires experience running complex projects, outreach tools proficiency, strong design/presentation/writing skills, and scrappiness in novel challenges.
Leads end-to-end propulsion test campaigns for low-bypass turbofan-powered UAV, including test stand design, instrumentation, execution, data analysis, and flight readiness. Requires 5+ years in engine testing, hands-on experience with test cells/DAQ, and Python proficiency.
Designs and releases propulsion hardware for UAV turbofan engines, including CAD modeling in Siemens NX, analysis with ANSYS/FEA, and collaboration with production/test teams. Requires 5+ years aerospace experience and bachelor's in engineering.
Manages day-to-day operations by monitoring KPIs, optimizing processes, automating systems, ensuring compliance, and collaborating across departments to support business scaling and efficiency.
Senior Quantum Engineer designs, executes, and interprets experiments on superconducting qubit systems to improve performance and scalability. Requires PhD in Physics or related field with extensive hands-on qubit experience and strong gate design expertise.
Develops superconducting quantum processors by characterizing qubits and gates, implementing measurement techniques, and collaborating on hardware integration for scalable quantum computing. Requires PhD in Physics or equivalent with expertise in quantum control and Python.
Conducts research on efficient AI systems focusing on real-time adaptation, model efficiency, and cross-stack optimization. Requires PhD or equivalent, 4-5+ years industry experience, and deep ML expertise including PyTorch/JAX and optimization techniques.
Develops advanced perception and localization algorithms for tractor-mounted AI camera systems on farms, fusing sensor data like stereo depth and GNSS for precise positioning. Requires 4+ years in robotics with expertise in computer vision and edge-optimized Python/C++ code.
Builds scalable ML training systems and infrastructure for speech AI models (STT/TTS), prototypes novel ideas with researchers, and creates internal tools for cross-functional teams. Requires strong ML research pipeline experience, especially in speech domains, plus orchestration tools expertise.
Senior ML Engineer builds scalable ETL pipelines, develops ML infrastructure for training/evaluation/inference on cloud/edge, and integrates CV models for analyzing farm images from tractor cameras. Requires 5+ years experience with Python, PyTorch/TensorFlow, data engineering tools, and cloud platforms.
Coordinates cross-functional teams in operations, supply chain, field deployments, and project management for an ag-tech startup building AI farming systems. Requires 1-3 years experience, high agency, and fluency in modern ops tools.
Build scalable ETL pipelines and ML infrastructure for processing massive farm image datasets from tractor-mounted cameras. Develop edge-deployed computer vision models for yield estimation, disease detection, and crop analysis using PyTorch and cloud tools, with 2+ years experience.
Develops perception and localization algorithms for tractor-mounted AI camera systems on farms, fusing sensor data like stereo depth and GNSS for precise positioning. Requires 2+ years in robotics with expertise in computer vision and edge-optimized Python/C++ code.
Lead engineering team building and operating hyperscale online data systems including databases, indexing, and vector search for OpenAI's AI applications. Requires deep expertise in distributed systems, operational excellence, and managing data-intensive teams.
Builds and owns agent-facing surfaces like CLIs, MCP servers, SDKs, and integrations for Reducto’s document processing tool, ensuring seamless use by AI agents and developers. Requires 2+ years in software engineering with strong Python/TypeScript and AI agent experience.
Leads M&A, joint ventures, investments, and strategic transactions full lifecycle, including structuring, negotiation, due diligence, and execution. Provides strategic advice to business teams; requires 8+ years transactional experience and CA bar qualification.
Lead development of Context Hub, an open-source CLI for AI agents to access up-to-date API docs. Own technical direction, build infrastructure for intelligent retrieval and community features, requiring 3+ years experience, TypeScript/Node.js proficiency, and strong LLM/AI agent knowledge.
Strategic Solutions Engineer partners with sales to architect generative AI solutions, create custom demos, and integrate Decagon's AI platform into enterprise ecosystems. Requires 4-6 years pre-sales experience and strong communication skills.
Technical lead evaluating hardware platforms and co-designing transformer models for on-device deployment. Leads team building low-level inference stack, optimizing for latency, memory, and power constraints. Requires deep experience with accelerators, transformers, and performance-critical ML software.
Translates product user stories into detailed, testable engineering requirements for Hivemind autonomy SDK. Collaborates across teams for requirements management, analysis, validation, systems modeling using SysML, and lifecycle traceability in robotics/autonomy systems. Requires 7+ years systems engineering experience and bachelor's degree.
Customer Success Engineer drives adoption and expansion of voice AI APIs for enterprise customers through technical expertise, demos, troubleshooting, and relationship building with developers and executives. Requires 7-10+ years in technical customer success or sales engineering at API-driven tech companies.
Owns product outcomes for enterprise AI deployments, builds trust with C-level stakeholders, drives production readiness, and feeds high-signal input to platform teams. Requires 6+ years in product/technical roles with enterprise shipping experience.
Forward Deployed Engineer embeds with customer teams to build and own production-grade AI-powered coding workflows using Cursor, from discovery to iteration and integration back into the core product. Requires strong Python/TS skills, end-to-end ownership, and production reliability experience.
Owns post-sale success for enterprise customers, driving AI tool adoption, retention, and expansion. Partners with engineering leaders to lead rollouts, demonstrate ROI, and influence product roadmap using customer insights and data.
Conduct research and build foundational ML models for structured and tabular data, combining statistical learning theory, probabilistic modeling, and large-scale systems. Requires a PhD and strong experience in tabular/relational ML.
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.
Leads go-to-market strategies, product launches, and lifecycle marketing (email, push, in-app) for a fintech platform. Partners with Product/Engineering; requires 5-8+ years experience, data-driven growth mindset, and strong communication skills.
Customer Success Manager owns onboarding, training, deployment, and support for ag-tech customers (fruit/nut farmers), ensuring product success through daily communication, issue resolution, and feedback to engineering. Requires agtech experience, strong communication, organization, and travel comfort.
Owns full sales cycle for enterprise accounts, prospecting to closing deals for AI-powered user research platform. Builds executive relationships, demonstrates value, and exceeds revenue goals in fast-paced startup.
Solutions Architect designs and deploys scalable AI infrastructure and agent systems for enterprise customers, combining platform engineering, agent development, and customer engagement. Requires 7+ years experience with Kubernetes, cloud platforms, LLM frameworks like LangChain, and strong communication skills.
Designs and deploys scalable AI infrastructure and multi-agent systems for enterprise customers using Kubernetes, cloud platforms, and LangChain/LangGraph. Requires 7+ years customer-facing technical experience and strong infra/AI engineering skills.
Solutions Architect designs and deploys scalable AI infrastructure and multi-agent systems for enterprise customers, combining platform engineering, agent development, and customer engagement. Requires 7+ years experience with Kubernetes, cloud platforms, and LLM frameworks.
Co-builds and deploys production AI agents with customers using LangChain tools, owns pre-sales technical wins, and provides post-sale architecture advice. Requires 3+ years experience, strong Python/JavaScript, and agent-based application design skills.
Deployed Engineer co-architects and builds production AI agents with customers, owns technical wins in pre-sales, and advises on deployment and operations. Requires 3+ years experience, strong Python/JavaScript, and expertise in agent-based LLM applications.
Leads end-to-end technical delivery of complex AI systems to customers, translating business goals into execution plans, managing cross-team coordination, and driving adoption. Requires 7+ years in customer-facing technical leadership with AI/LLM shipping experience.
Leads end-to-end delivery of large-scale GPU clusters and compute infrastructure, managing hardware, networking, power, cooling across partners. Requires 5+ years program management in hyperscaler infrastructure and technical expertise partnering with engineering teams.
Leads structural design and analysis for hyperscale data centers, ensuring seismic resilience, vibration control, and integration with MEP systems. Requires 10+ years experience, PE license, and proficiency in tools like ETABS, RISA, and Revit.