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Location: Seoul, Seoul Special City, South Korea Are you a skilled Mandarin interpreter looking for a flexible and rewarding opportunity? We are seeking talented individuals proficient in Mandarin and English to join our team of international interpreters. If you have a passion for languages and a commitment to providing excellent service, we want to hear from you! This is a fully remote position. As a remote interpreter, you play a significant role in facilitating communication between Mandarin and English speakers. The interpreter needs to be able to process information quickly and accurately in a professional manner. It is essential to ensure a quiet and secure environment. Notepads, writing utensils, glossaries, and dictionaries are useful tools. Candidate Qualifications: Fluency in English and Mandarin Minimum 2 year of interpretation experience Excellent listening, retention, and note-taking skills to maintain a high level of accuracy Ability to render correct concepts and meanings according to established interpretation protocols, avoiding omissions or additions Ability to explain certain cultural concepts to avoid miscommunication, with permission or at the request of the client Technical Requirements: 90% English proficiency Steady wired internet connection USB wired headset Windows 10 or Mac What we offer you: Fully remote — work from your home office Full-time contractor position Immediate availability to start after onboarding Monthly payments Your responsibilities: Answer calls professionally, acting according to the interpreter’s code of conduct Be familiar with industry-specific vocabulary (especially healthcare and medical terminology) Participate in internal professional training Communicate and report to your team leader *Based on your location, language testing and background check may be required. Join us and become part of a dynamic team that values your skills. Apply today and start making a difference in the world of interpretation!

Location: Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Are you a skilled Mandarin interpreter looking for a flexible and rewarding opportunity? We are seeking talented individuals proficient in Mandarin and English to join our team of international interpreters. If you have a passion for languages and a commitment to providing excellent service, we want to hear from you! This is a fully remote position. As a remote interpreter, you play a significant role in facilitating communication between Mandarin and English speakers. The interpreter needs to be able to process information quickly and accurately in a professional manner. It is essential to ensure a quiet and secure environment. Notepads, writing utensils, glossaries, and dictionaries are useful tools. Candidate Qualifications: Fluency in English and Mandarin Minimum 2 year of interpretation experience Excellent listening, retention, and note-taking skills to maintain a high level of accuracy Ability to render correct concepts and meanings according to established interpretation protocols, avoiding omissions or additions Ability to explain certain cultural concepts to avoid miscommunication, with permission or at the request of the client Technical Requirements: 90% English proficiency Steady wired internet connection USB wired headset Windows 10 or Mac What we offer you: Fully remote — work from your home office Full-time contractor position Immediate availability to start after onboarding Monthly payments Your responsibilities: Answer calls professionally, acting according to the interpreter’s code of conduct Be familiar with industry-specific vocabulary (especially healthcare and medical terminology) Participate in internal professional training Communicate and report to your team leader *Based on your location, language testing and background check may be required. Join us and become part of a dynamic team that values your skills. Apply today and start making a difference in the world of interpretation!

Location: Bangkok, Thailand Are you a skilled Mandarin interpreter looking for a flexible and rewarding opportunity? We are seeking talented individuals proficient in Mandarin and English to join our team of international interpreters. If you have a passion for languages and a commitment to providing excellent service, we want to hear from you! This is a fully remote position. As a remote interpreter, you play a significant role in facilitating communication between Mandarin and English speakers. The interpreter needs to be able to process information quickly and accurately in a professional manner. It is essential to ensure a quiet and secure environment. Notepads, writing utensils, glossaries, and dictionaries are useful tools. Candidate Qualifications: Fluency in English and Mandarin Minimum 2 year of interpretation experience Excellent listening, retention, and note-taking skills to maintain a high level of accuracy Ability to render correct concepts and meanings according to established interpretation protocols, avoiding omissions or additions Ability to explain certain cultural concepts to avoid miscommunication, with permission or at the request of the client Technical Requirements: 90% English proficiency Steady wired internet connection USB wired headset Windows 10 or Mac What we offer you: Fully remote — work from your home office Full-time contractor position Immediate availability to start after onboarding Monthly payments Your responsibilities: Answer calls professionally, acting according to the interpreter’s code of conduct Be familiar with industry-specific vocabulary (especially healthcare and medical terminology) Participate in internal professional training Communicate and report to your team leader *Based on your location, language testing and background check may be required. Join us and become part of a dynamic team that values your skills. Apply today and start making a difference in the world of interpretation!

Location: Jakarta, DKI Jakarta, Indonesia Are you a skilled Mandarin interpreter looking for a flexible and rewarding opportunity? We are seeking talented individuals proficient in Mandarin and English to join our team of international interpreters. If you have a passion for languages and a commitment to providing excellent service, we want to hear from you! This is a fully remote position. As a remote interpreter, you play a significant role in facilitating communication between Mandarin and English speakers. The interpreter needs to be able to process information quickly and accurately in a professional manner. It is essential to ensure a quiet and secure environment. Notepads, writing utensils, glossaries, and dictionaries are useful tools. Candidate Qualifications: Fluency in English and Mandarin Minimum 2 year of interpretation experience Excellent listening, retention, and note-taking skills to maintain a high level of accuracy Ability to render correct concepts and meanings according to established interpretation protocols, avoiding omissions or additions Ability to explain certain cultural concepts to avoid miscommunication, with permission or at the request of the client Technical Requirements: 90% English proficiency Steady wired internet connection USB wired headset Windows 10 or Mac What we offer you: Fully remote — work from your home office Full-time contractor position Immediate availability to start after onboarding Monthly payments Your responsibilities: Answer calls professionally, acting according to the interpreter’s code of conduct Be familiar with industry-specific vocabulary (especially healthcare and medical terminology) Participate in internal professional training Communicate and report to your team leader *Based on your location, language testing and background check may be required. Join us and become part of a dynamic team that values your skills. Apply today and start making a difference in the world of interpretation!

We’re looking for a Senior Product Builder to own the backend and architecture that let Hub manage a whole fleet of clusters. Your first focus will be the mechanism that sends access, secret, tenant and licence changes out to every connected cluster and brings deployments, health and audit records .

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Lead infrastructure architecture and core platform development for the AI Native era, covering CI/CD, AIOps, observability, and monorepo engineering. Build platforms that support multiple programming languages across host-based and containerized environments. Use platform engineering, intelligent tooling, and automated quality controls to enable developers and AI agents to work together, improving developer productivity, software quality, and production reliability. What You’ll Be Doing Infrastructure Architecture and Evolution: Define platform architecture, technical standards, and roadmaps, balancing scalability, reliability, security, and cost. Lead critical component design, hands-on development, and implementation across teams. AI Native Engineering Capabilities: Connect code, documentation, dependencies, test results, and runtime data into usable engineering context. Expose capabilities through APIs, CLIs, and SDKs for developers and agents to understand and review code, run tests, and resolve issues. Establish task evaluations, output validation, and execution permissions. Infrastructure for Multiple Languages: Build extensible toolchains, dependency management, testing, and delivery capabilities for ecosystems such as Go, Java, Python, C++, and Rust. Use standard protocols and SDKs to support communication across languages, interface compatibility, and consistent telemetry, reducing platform integration effort. Monorepo and Build Systems: Define repository structure, module boundaries, dependency policies, and code ownership to support changes across modules and independent service releases. Apply practices from systems such as Bazel and Buck2 to deliver incremental and reproducible builds, affected-test selection, remote caching, and remote execution. CI/CD and Quality Engineering: Build shared platforms for builds, tests, artifacts, and releases across hosts and containers. Improve configuration governance, automated quality gates, progressive delivery, health verification, and rollback to shorten delivery cycles and reduce change risk. Observability and Reliability: Unify metrics, logs, traces, and profiling, linking telemetry to code, configuration, dependencies, and deployments. Establish SLIs, SLOs, error budgets, and alerting practices, and feed production findings back into engineering quality improvements. AIOps and Automated Remediation: Combine telemetry, topology, change history, and operational knowledge to enable anomaly detection, incident investigation, root cause analysis, and controlled remediation. Use incident replay, evaluation, and feedback to reduce recovery time and repetitive operational work. What We Look For In You Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. At least 8 years of infrastructure or platform engineering experience, including 3 years in architecture or technical leadership. Deep expertise in at least one of CI/CD, build systems, observability, or AIOps, with experience designing, implementing, and operating large production systems. Strong knowledge of Linux, networking, distributed systems, and troubleshooting. Experience with deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments. Experience building infrastructure for multiple languages, with an understanding of toolchain, dependency, and runtime differences. Ability to design shared platform interfaces and extensible language integrations. Familiarity with open-source infrastructure practices originating at Google or Meta, such as build and dependency management with Bazel or Buck2, or cross-language communication and interface contracts with gRPC and Protocol Buffers. Experience evaluating, integrating, or optimizing relevant technologies. Experience with automated testing, quality gates, and release engineering, using observability and reliability measures to improve delivery workflows. Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution. Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills. Ability to drive implementation through design reviews, technical guidance, and collaboration across teams. Nice to Haves Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms, are preferred. Leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms. Building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production. Operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Lead infrastructure architecture and core platform development for the AI Native era, covering CI/CD, AIOps, observability, and monorepo engineering. Build platforms that support multiple programming languages across host-based and containerized environments. Use platform engineering, intelligent tooling, and automated quality controls to enable developers and AI agents to work together, improving developer productivity, software quality, and production reliability. What You’ll Be Doing Infrastructure Architecture and Evolution: Define platform architecture, technical standards, and roadmaps, balancing scalability, reliability, security, and cost. Lead critical component design, hands-on development, and implementation across teams. AI Native Engineering Capabilities: Connect code, documentation, dependencies, test results, and runtime data into usable engineering context. Expose capabilities through APIs, CLIs, and SDKs for developers and agents to understand and review code, run tests, and resolve issues. Establish task evaluations, output validation, and execution permissions. Infrastructure for Multiple Languages: Build extensible toolchains, dependency management, testing, and delivery capabilities for ecosystems such as Go, Java, Python, C++, and Rust. Use standard protocols and SDKs to support communication across languages, interface compatibility, and consistent telemetry, reducing platform integration effort. Monorepo and Build Systems: Define repository structure, module boundaries, dependency policies, and code ownership to support changes across modules and independent service releases. Apply practices from systems such as Bazel and Buck2 to deliver incremental and reproducible builds, affected-test selection, remote caching, and remote execution. CI/CD and Quality Engineering: Build shared platforms for builds, tests, artifacts, and releases across hosts and containers. Improve configuration governance, automated quality gates, progressive delivery, health verification, and rollback to shorten delivery cycles and reduce change risk. Observability and Reliability: Unify metrics, logs, traces, and profiling, linking telemetry to code, configuration, dependencies, and deployments. Establish SLIs, SLOs, error budgets, and alerting practices, and feed production findings back into engineering quality improvements. AIOps and Automated Remediation: Combine telemetry, topology, change history, and operational knowledge to enable anomaly detection, incident investigation, root cause analysis, and controlled remediation. Use incident replay, evaluation, and feedback to reduce recovery time and repetitive operational work. What We Look For In You Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. At least 8 years of infrastructure or platform engineering experience, including 3 years in architecture or technical leadership. Deep expertise in at least one of CI/CD, build systems, observability, or AIOps, with experience designing, implementing, and operating large production systems. Strong knowledge of Linux, networking, distributed systems, and troubleshooting. Experience with deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments. Experience building infrastructure for multiple languages, with an understanding of toolchain, dependency, and runtime differences. Ability to design shared platform interfaces and extensible language integrations. Familiarity with open-source infrastructure practices originating at Google or Meta, such as build and dependency management with Bazel or Buck2, or cross-language communication and interface contracts with gRPC and Protocol Buffers. Experience evaluating, integrating, or optimizing relevant technologies. Experience with automated testing, quality gates, and release engineering, using observability and reliability measures to improve delivery workflows. Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution. Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills. Ability to drive implementation through design reviews, technical guidance, and collaboration across teams. Nice to Haves Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms, are preferred. Leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms. Building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production. Operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Atlanta, GA (Hybrid) The Position CallRail’s Partner Program helps drive the growth and usage of CallRail to tens of thousands of indirect customers. This is a special opportunity to drive meaningful relationships with partners, assess future opportunities, and impact CallRail’s bottom line. The ideal candidate will have experience in partner account sales including the recruiting, nurturing, and managing of a book of business. You will be expected to engage senior leaders at channel partner companies to facilitate and lead revenue growth opportunities. You will work closely with the channel and cross functional teams to ensure achievement of channel sales strategies that drive success. What You’ll Do Be the primary point of contact for your assigned partners Be responsible for meeting or exceeding monthly partner sales objectives You will actively pursue revenue objectives generated from selling services through channel partners to their customer base of mostly SMBs You will be responsible for building out your territory plan as well as working with selected partners in the areas of business development, business planning, marketing execution, and overall sales enablement activities You will be expected to represent CallRail during all phases of engagement You may from time to time be required to prospect for new partners You will provide your channel partners and their customers with the highest standard of sales collaboration and success including: Partner account segmentation (geo, production, activation, etc) Partner account mapping where applicable Partner account planning QBRs & JBCs Joint pipeline reviews and forecasting Travel within your assigned territory to further support and develop your channel partners, attend and/or exhibit at industry trade shows and conferences as necessary Consult on strategic marketing and operations planning with cross-functional teams, setting objectives and identifying methods to reach those goals Work with the channel team and cross functionally with marketing, support, product, success, direct sales, and leadership teams to identify key issues and to tackle any that impede partner/client performance Work with product and customer marketing to document and understand the ongoing changes in the channel landscape What You’ll Need Three to five years of experience in partner, channel or vendor type sales management Sales or channel experience in SaaS, technology or marketing services Ability to work in a high growth company, effectively balancing autonomy, alignment and direction An ability to perform analytics to evaluate partner success, pipeline and territory requirements Excellent written and oral communication skills, with strong ability to build, persuade and communicate business rationale Proven effectiveness collaborating in small teams and desire to work in a fast-paced, evolving environment Comfortable communicating with all levels of management Ability and willingness to travel 20-25% Strong organizational skills and professional business practices f you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience. Additional Perks Healthcare (one option covered at 100% for employees), Dental & Vision Coverage Competitive HSA with company matching Paid parental leave Flexible vacation policy 401K options with company dollar-for-dollar match Employee stock options available from day one $2,000 annual educational allowance Catered lunch every Tuesday * an in-office perk MARTA transportation or office parking expenses covered Employee charitable donation company match, up to $500 annually Regular company outings and events Hybrid work options with $500 office stipend to set up your home office Designated bike storage This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays. Beginning in January 2027, CallRail will transition to a 3 day hybrid model, with in-office days on Mondays, Wednesdays, and Thursdays. Learn more: https://www.callrail.com/about/ You Are Welcome Here CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks.

Location: Los Angeles, USA; Mercer Island, USA Game Product Managers at Riot lead passionate teams to create and evolve products and experiences for our players. We seek to deeply understand our product’s audience and drive strategy to create value for players and for Riot. We help concept, build, and influence projects at all stages of production. Riftbound is our new physical trading card game (TCG) where you battle to control locations with famous League champions. As a Senior Game Product Manager on Riftbound, you'll report directly to the Product Design Director and be front and center in defining the direction of our game. You will work with design and insights to maintain and improve the health of the game through the primary content lens: cards! Your analysis, player insight, and creativity will help craft in-game experiences that engage and surprise players. You will collaborate with interdisciplinary teams and work with every tool at hand to iterate our live environment to delight millions of players around the world. Responsibilities: Understand the relevant audiences for the game, and from this, calibrate your expertise to reflect appropriate taste for these audiences Use data and sensemaking to identify opportunities to improve the health of the game through product design Articulate and consider a scope and depth of possible solutions, including possible effects, and collaboratively reach the best solution Discover solutions conceptually through prototyping and collaboration Improve existing design frameworks, our approaches to design, and create new ones Collaborate with other designers, insights, product, narrative and art to deliver the best holistic solutions Openly share work and seek feedback from other developers, combining co-worker and player feedback to calibrate design direction Required Qualifications: 5+ years of experience as a professional game product manager Broad product design experience and knowledge Demonstrated experience serving audience needs on live games Desired Qualifications: Knowledge of CCGs and their features Experience working with or playing PvP strategy games Experience developing a competitive or multiplayer game Experience managing direct reports or mentoring For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about players' experiences, this is the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: London & San Francisco Workplace: onsite Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI publicly committed to giving embedded evaluators an unprecedented level of access. Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.  Apollo has taken steps toward becoming an embedded evaluator at frontier labs. We want to hire experienced senior researchers with a strong track record of getting things done to execute our embeddedevaluationplans. KEY RESPONSIBILITIES If embedded evaluations happen, you will be on one of the following teams: On-site embedded evaluators: This team will spend weeks or months embedded at a frontier AI lab, where they will conduct interviews, review the lab’s evidence, gather new evidence, and write a report. They will execute a playbook quickly and adapt to unforeseen circumstances. We hold our embedded evaluators to the highest standards, so you will likely have to first prove yourself within Apollo before being sent into an embedded campaign. That is, you will probably start on the applied research team to gain context on embedded evaluations. For this team, we prefer candidates with the right to work in the US who can be based in San Francisco. Applied researchers: This team will be the force-multiplier behind embedded evaluations. They will prepare on-site evaluators before they are embedded and support them while they are embedded. They will do the conceptual work to determine what evidence would support a safety case, and write the playbook for on-site evaluators to optimize how fast they can gather evidence. They will develop tooling for embedded evaluators, both ahead-of-time and urgently on demand. They will be the bridge connecting fundamental research and the on-site evaluators. For example, they might convert the methodology of “Measuring Reward-Seeking via Contrastive Belief Updates” into turnkey code and procedures. This team can work from any of our offices. Both are high-stakes teams. On-site embedded evaluators should be exceptionally strong at quick execution under high pressure, and very strong at planning and research. Applied researchers should be exceptionally strong at planning and research, and very strong at quick execution under high pressure. For both teams, we are excited for experienced candidates who have owned ambitious projects end-to-end under tight deadlines. KEY REQUIREMENTS We don’t require a formal background or industry experience and welcome self-taught candidates. We assess demonstrated ability, including through independent research and nontraditional paths; prior formal management titles are not required. Technical safety research judgment: You have a strong track record of producing or leading technically rigorous research relevant to understanding and reducing risks from advanced AI. Your background might include alignment, interpretability, model evaluations, control, adversarial ML, or post-training. You understand modern model training well enough to interrogate a lab’s methods and learn unfamiliar pipelines quickly. Deep experience with frontier RL or post-training is valuable but not required. Research leadership and delivery: You have led ambitious technical projects end-to-end under hard deadlines and managed or closely supervised strong individual contributors (ICs). You can set research priorities, delegate meaningful ownership, review technical work, and keep a team focused on the questions that matter most. Data Analysis & Pattern Recognition: You can extract signal from large, messy datasets. You're comfortable with quantitative analysis and know when qualitative assessment is more appropriate. You can identify anomalies and unexpected model behaviors. Writing for high-stakes audiences: You have experience writing about qualitative and quantitative findings for different stakeholders. You can take a pile of unorganized technical information and communicate it effectively to lab safety teams, lab leadership, governments, or the public. Strong understanding of scheming: You have a strong conceptual understanding of ideas like metagaming, evaluation awareness, deception, and reward-seeking. You are familiar with classic literature like Is Power-Seeking AI an Existential Risk? and modern research. AI power-user: You’re capable of using AI to accelerate your work, technical or otherwise. You have experience using different models, know which ones to use for which tasks, when not to use AI, and always experiment with new AI workflows. Professionalism: You can represent Apollo independently in sustained, high-stakes technical collaborations.  Your professional conduct is unimpeachable. You know when to tactfully resolve disagreements with partners and when to stand firm in negotiations, and you are excellent at both of those. Mission commitment: Apollo estimates that RSI will happen soon, and we are extremely concerned that AGI will catastrophically not be aligned with human values. Hence we have an “intense, but in a good way” culture . We will ask a lot from you, but in return you will personally have a large impact on loss-of-control risk. NICE TO HAVES Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Prior embedded expertise: You have previous experience in professional services like auditing or consulting. You’ve learned lessons from working on-site with clients that will generalize to working with frontier AI labs. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. BENEFITS This role offers a market-competitive salary, equity, and competitive benefits. Depending on your experience, you may be offered a Lead or individual contributor position. Salary: Recognised experts who can lead projects of significant scope: USD 350,000 - USD 590,000 or £230,000 - £395,000 Strong individual contributors: USD 245,000 - USD 405,000 or £160,000 - £270,000 Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable). We are able to sponsor visas to the UK and US. LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We prefer on-site embedded evaluators to be permanently located in San Francisco. Applied researchers can work from any of our offices. We offer flexible working hours and WFH arrangements. Remote candidates will only be considered if they are exceptional and can travel at least 1 week/month to either office. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. ABOUT THE TEAM Alex Meinke leads the science of scheming team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the science of scheming team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.  How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode-style general coding interviews. If you want to prepare for the interviews, we suggest (a) thinking about what embedded evaluators should investigate, (b) building a tool that would be useful for embedded evaluators and running it on suitable proxy data, and/or (c) writing a report based on mock findings.  Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW We're hiring a Sr. Infrastructure Engineer to own the shared layer that every Harvey IT system runs on. You'll join Core IT Engineering & Infrastructure, reporting to Dave Vega, Director of IT, alongside engineers who own identity and collaboration, Microsoft platforms, networking, and client platforms. Harvey is cloud-first. We run no servers or data centers of our own. Our IT infrastructure is cloud tenants, SaaS configuration, office networks across a growing global footprint, and the automation that ties them together. Today that cross-cutting work is done on the side by each platform owner. This role makes it someone's primary job, so it gets built once, done well, and doesn't break quietly. WHAT YOU'LL DO You'll own the shared infrastructure, automation and reliability work that cuts across every IT platform. - IT cloud accounts and tenants. Own access, guardrails and cost for the cloud accounts IT runs (AWS, Azure, GCP projects for IT tooling). Be the BizTech engineering partner to Security and Infrastructure on tenant-level changes, such as cloud migrations that touch Entra and M365. - Infrastructure as code for IT. Build and run the Git repos, CI pipelines and review process for IT configuration (Okta, Jamf, Intune, Google Workspace). Platform owners keep owning their config. You own the framework they all use. - IT automation and provisioning. Own the automation behind identity lifecycle and IT workflows: SCIM and provisioning flows, onboarding and offboarding orchestration across systems, and IT workflows in Serval. - Monitoring, backup and resilience. Set up health checks and alerting for critical IT systems and integrations, config drift detection, SaaS backup (Google, Slack, M365) and tested recovery runbooks. - Scripts and internal tooling. Take over the scripts and admin utilities that live on individual laptops today. Put them in source control, document them and keep them running. - Office site standard. Work with Network and AV/Media teams to define the repeatable technical template for new offices: configuration, monitoring and documentation each site copies. Network and AV build execution stays with their owners. - Engineering practices. Raise the bar on change control, documentation and runbooks across the pillar, so primaries and backups can cover for each other. - Certificates, domains and DNS. Track and renew every certificate IT depends on (Apple Push, SAML signing, SSL, Wi-Fi/802.1X). Work with Network and CorpSec teams to own and manage DNS NS solutions for IT. Build expiry monitoring to avoid surprises. WHAT YOU HAVE - 6+ years in corporate IT engineering, systems engineering or SRE, with at least 2 years owning shared infrastructure or automation for a SaaS-first company. - Strong infrastructure-as-code experience. You've managed real systems with Terraform or similar, in Git, with pull-request review and CI. - Solid scripting in Python plus one of Bash, PowerShell or Go. You write code other people can read and maintain. - Hands-on with identity and provisioning: SAML, OIDC, SCIM and lifecycle automation in Okta or Entra. - Working knowledge of at least one major cloud (AWS, Azure or GCP): IAM, accounts and cost basics. - Comfort with DNS, TLS and certificate management, and basic enterprise networking. - You've built monitoring and alerting that people actually trust, and written runbooks that someone else used successfully. - Clear written communication. You can explain a change, its risk and its rollback to non-engineers. BONUS POINTS - Terraform providers for Okta, Google Workspace or Jamf, or config-as-code tools for Intune - Serval or similar IT automation platforms - SaaS backup and recovery tools for Google Workspace, Slack or M365 - Multi-site office rollouts across regions, including working with local vendors and ISPs - Experience at a fast-growing company where company headcount grew faster than the IT team COMPENSATION $153,000 - $210,500 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-RB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Content Strategy Lead for Executive Programs, you will own what Anthropic brings to the table when we sit down with senior leaders from our most strategic customers. That covers Executive Briefings, Customer Advisory Boards, Executive Councils, and the other small-room gatherings where a C-level audience meets with our leaders, product teams, and researchers. You will set the content strategy across these programs, build the library of modules and the bench of speakers, and lead the team that keeps our content fresh as our models and products evolve. This role works cross-functionally with Product & Solutions Marketing, who owns positioning and messaging across industries and products, and customer programs which owns each program's operations, intake, and customer experience. You own the layer in between: turning Anthropic's product, research, and policy story into sessions built for an executive audience, deciding who is best placed to deliver them, and designing interactive formats and demos that work for customers building on the frontier. The right candidate has a product marketing or narrative background, has built content for C-level customer audiences at an enterprise technology company, and has managed a team. Key responsibilities Set and execute the content strategy across Executive Briefings, Customer Advisory Boards, Executive Councils, and other gatherings of strategic customers: the themes for the year, the narrative that connects them, and how content differs by program, audience, and purpose. Build and maintain an evergreen library of content modules that program leads and account teams can assemble into an agenda without starting from scratch. Modules span product and roadmap, research, safety and policy, industry and use-case sessions, demos, and discussion guides. Keep the library current. Set a refresh cadence tied to model and product launches, retire what is stale, maintain a pipeline of net-new content modules, and make sure nothing in front of a customer executive is out of date. Identify, recruit, develop and certify speakers from Anthropic's executive, product, research, and go-to-market teams. Maintain the cross-program roster, shape each speaker's session, and prepare them for the room. Design the experience, not only the presentation. Choose the format that fits the audience and the goal, whether that is a working session, a live demo, a conversation with a researcher, or a peer discussion among customers. Partner with program leads on agendas for the highest-priority engagements, tailoring modules to the customer's objectives. Set the standards and templates that let every other engagement meet the same bar. Work with Product & Solutions Marketing, Product, and Research so that executive-level content is ready when a launch happens, not weeks after. Capture what customers say in these rooms, including themes, objections, and requests. Route it to Product, Research, Marketing, and go-to-market leadership, and use it to improve the content. Measure what works, including session feedback, module usage, and speaker performance, and work with program leads to connect content to program outcomes. Hire, manage, and develop the team responsible for executive program content, and set its quality bar. Use Claude to scale the work: build workflows that tailor modules to a customer's industry and priorities so a customized session does not require a rebuild. Minimum qualifications Built content for C-level customer audiences in executive briefings, advisory boards, executive councils, or similar programs. Built a content system that other people rely on, such as a module library, a session catalog, or a speaker program, and kept it current through frequent product change. The technical fluency to work directly with researchers and engineers, understand what they have built, and explain it accurately to a business executive. Experience coaching senior executives and technical experts as speakers, including giving direct feedback on their material. Judgment about format: you know when a room needs a presentation, a demo, or a facilitated discussion, and you can design each one. Experience managing people, including hiring and developing a team. A high bar for writing. You can draft an executive session narrative yourself and improve one written by someone else. Genuine interest in AI and in helping the world's largest enterprises adopt it responsibly. Preferred qualifications 12+ years in product marketing, executive content, or executive customer programs at a B2B technology company. You have owned positioning and messaging for a technical product and know how to adapt it for different audiences. Experience at a company where the product changes quickly and content has a short shelf life. Hands-on experience using AI tools to produce or tailor content. Experience facilitating executive discussions, not only preparing others to lead them. Worked with customers in regulated industries such as financial services, healthcare, or the public sector. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're hiring a Sr. Infrastructure Engineer to own the shared layer that every Harvey IT system runs on. You'll join Core IT Engineering & Infrastructure, reporting to Dave Vega, Director of IT, alongside engineers who own identity and collaboration, Microsoft platforms, networking, and client platforms. Harvey is cloud-first. We run no servers or data centers of our own. Our IT infrastructure is cloud tenants, SaaS configuration, office networks across a growing global footprint, and the automation that ties them together. Today that cross-cutting work is done on the side by each platform owner. This role makes it someone's primary job, so it gets built once, done well, and doesn't break quietly. WHAT YOU'LL DO You'll own the shared infrastructure, automation and reliability work that cuts across every IT platform. - IT cloud accounts and tenants. Own access, guardrails and cost for the cloud accounts IT runs (AWS, Azure, GCP projects for IT tooling). Be the BizTech engineering partner to Security and Infrastructure on tenant-level changes, such as cloud migrations that touch Entra and M365. - Infrastructure as code for IT. Build and run the Git repos, CI pipelines and review process for IT configuration (Okta, Jamf, Intune, Google Workspace). Platform owners keep owning their config. You own the framework they all use. - IT automation and provisioning. Own the automation behind identity lifecycle and IT workflows: SCIM and provisioning flows, onboarding and offboarding orchestration across systems, and IT workflows in Serval. - Monitoring, backup and resilience. Set up health checks and alerting for critical IT systems and integrations, config drift detection, SaaS backup (Google, Slack, M365) and tested recovery runbooks. - Scripts and internal tooling. Take over the scripts and admin utilities that live on individual laptops today. Put them in source control, document them and keep them running. - Office site standard. Work with Network and AV/Media teams to define the repeatable technical template for new offices: configuration, monitoring and documentation each site copies. Network and AV build execution stays with their owners. - Engineering practices. Raise the bar on change control, documentation and runbooks across the pillar, so primaries and backups can cover for each other. - Certificates, domains and DNS. Track and renew every certificate IT depends on (Apple Push, SAML signing, SSL, Wi-Fi/802.1X). Work with Network and CorpSec teams to own and manage DNS NS solutions for IT. Build expiry monitoring to avoid surprises. WHAT YOU HAVE - 6+ years in corporate IT engineering, systems engineering or SRE, with at least 2 years owning shared infrastructure or automation for a SaaS-first company. - Strong infrastructure-as-code experience. You've managed real systems with Terraform or similar, in Git, with pull-request review and CI. - Solid scripting in Python plus one of Bash, PowerShell or Go. You write code other people can read and maintain. - Hands-on with identity and provisioning: SAML, OIDC, SCIM and lifecycle automation in Okta or Entra. - Working knowledge of at least one major cloud (AWS, Azure or GCP): IAM, accounts and cost basics. - Comfort with DNS, TLS and certificate management, and basic enterprise networking. - You've built monitoring and alerting that people actually trust, and written runbooks that someone else used successfully. - Clear written communication. You can explain a change, its risk and its rollback to non-engineers. BONUS POINTS - Terraform providers for Okta, Google Workspace or Jamf, or config-as-code tools for Intune - Serval or similar IT automation platforms - SaaS backup and recovery tools for Google Workspace, Slack or M365 - Multi-site office rollouts across regions, including working with local vendors and ISPs - Experience at a fast-growing company where company headcount grew faster than the IT team COMPENSATION $153,000 - $210,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-RB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Athens, Greece About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At DoorDash International, we're building the future of local commerce across some of Europe's leading delivery businesses, including Wolt and Deliveroo. Our teams work across brands and markets to identify opportunities, build scalable solutions and turn global capabilities into meaningful local impact. Why Join Us? At DoorDash International, execution drives impact. We combine the scale and technology of a global platform with a deep understanding of our local markets. You'll work across Wolt and Deliveroo, partnering with teams throughout EMEA markets to solve complex business problems and scale what works. If you're passionate about using data to identify growth opportunities, turning insights into action and working across markets to drive measurable business impact, this is an opportunity to help shape how we grow our Restaurant business through better menus. What you'll be doing We are seeking a Menu Growth Senior Specialist to support Restaurant growth by improving restaurant Menu Performance and driving adoption of menu-related growth initiatives across EMEA. Menus are a critical part of the customer and merchant experience. Their quality, completeness and use of growth features can influence customer choice, basket size and overall merchant performance. You will work closely with the Menu Growth Manager to analyze menu performance, identify opportunities and translate insights into concrete initiatives. You will take end-to-end ownership of defined workstreams, such as Menu Completeness,  and work with local Account Management and Merchant Operations teams to execute them across markets and measure their impact. This is a hands-on Strategy & Operations role combining analytics, project management and stakeholder collaboration. You will independently drive your initiatives from analysis through execution and performance tracking, while partnering with the Menu Growth Manager and Consumer Teams on broader strategy and prioritization. Day-to-day in this role you'll: Menu Growth Analysis (~30%) Analyze consumer needs around menu, merchant and business performance to identify gaps and growth opportunities. Use SQL, Snowflake, spreadsheets and dashboards to investigate performance and support data-driven decision-making. Work with the Menu Growth Manager to turn insights and hypotheses into concrete initiatives. Track key metrics including and identify markets or merchant segments requiring additional focus. Support impact measurement and experimentation to understand which interventions improve merchant and business outcomes. Prepare clear analyses and recommendations that help EMEA and local teams make informed decisions. Initiative Execution (~45%) Own defined Menu Growth initiatives end-to-end, from planning through market rollout and performance tracking. Support the rollout and adoption of EMEA initiatives Translate initiatives into clear execution plans, timelines, materials and actions for participating markets. Track progress against agreed targets and proactively identify execution gaps or blockers. Coordinate follow-ups with local teams and support them in implementing agreed actions. Measure results, document learnings and recommend improvements together with the Menu Growth Manager. Help scale successful approaches and best practices across EMEA markets. Market & Stakeholder Collaboration (~25%) Work closely with local Account Management and Merchant Operations teams and their leaders across EMEA. Support markets in understanding menu performance gaps and translating insights into concrete actions. Build strong relationships with local stakeholders to drive adoption and execution of Menu Growth initiatives. Gather structured market feedback and use it to improve future initiatives. Coordinate with Analytics and Product when initiatives require additional data, insights or tooling support. Share successful approaches and learnings across markets to accelerate adoption and reduce duplicated effort. Our humble expectations 2–4 years of experience in Strategy & Operations, Business Operations, Marketplace/Commercial Operations or a comparable analytical role. Strong analytical and structured problem-solving skills, with the ability to turn data into actionable recommendations. Comfortable working with large datasets, SQL/Snowflake, Excel/Google Sheets and BI/dashboarding tools. Familiarity with hypothesis-driven problem solving, experimentation and A/B testing principles. First project management experience, with the ability to independently drive defined initiatives from analysis through execution. A commercial mindset and curiosity about how merchant and customer behavior translates into business growth. Strong stakeholder-management skills and a proactive, action-oriented approach to driving execution across teams and markets. Fluent business English; experience in marketplaces, food delivery, e-commerce or high-growth tech is a plus. What we offer A fast-growing tech company with lots of career opportunities, both locally and internationally; Employee Assistance Programme - therapy and wellbeing; Employee discount on all Wolt orders; Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today! The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: €2.014 — €2.517 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: United Kingdom - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: You will assess a prospect’s technical requirements and apply extensive knowledge of Chainguard products to illustrate how a deal will satisfy the client’s unmet needs. You will cultivate relationships with decision-makers at all levels of an organization and negotiate the competing needs of multiple stakeholders within an organization. You will secure technical wins using methods such as demos, RFP/RFI responses, lead POVs, partner with engineering for requested features, and participate in conferences and industry events (when applicable). What you'll do: Partner with our Sales Team to help customers evaluate and prove the value of our solution Focus on acquiring new customer “logos” in addition to growing existing customer base Own all technical aspects of sales opportunities and assisting current customers understand the value of Chainguard Day to day responsibilities include: Listen to our customers and understand their challenges Conduct product demonstrations and POVs/POCs Actively participate in webinars, meetups, conferences and other marketing initiatives What we're looking for: Experience as a Sales Engineer / Pre-Sales Engineer Experience with MEDDPICC and or Command of the Message sales frameworks Experience selling into Enterprise (3+ years) and Mid Market prospects Experience in the following areas: Container technologies (Kubernetes, Serverless, Docker) Cloud technology (AWS, Azure, Google, etc.) Cloud security or containers security App Security Startup experience Smart and passionate people that can persevere to success. People acting as trusted advisors, able to build credibility with customers. Strong team players committed to help and mentor their peers. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, fault-tolerant, and global infrastructure that is shared across multiple financial products, merchants, and vendors. Ensuring that our infrastructure is transparently available to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of writing blameless postmortems as well as writing detailed tech specs and gathering feedback before large changes to systems. The AI Platform team owns Affirm's paved path for building, running, evaluating, and governing AI systems. Our customers are not only Affirm users, but also every engineer and a growing set of production workloads at Affirm. As a team, we are responsible for building and exposing simple, governed interfaces to models, tools, and agents, with identity, cost attribution, reliability, and security built in. Examples of components we own include the LLM Gateway that fronts every approved model (Claude, ChatGPT, and open-weight models across AWS Bedrock and other providers), the MCP Gateway that mediates and audits tool calls, the Agent Runtime that gives agentic workloads bounded execution, and the evals and observability layer that tells teams whether an AI change is better, cheaper, or safe to ship. We are early: the gateway is in daily use across engineering, the first production agent is live, and the next year takes us from developer productivity to production inference and agents. What You'll Do Plan, execute, and own technical decisions and projects within the AI Platform team, from design through launch and on-call. Design and build the gateway, runtime, and evaluation services that take AI workloads at Affirm from pilot to production, securely scaling across millions of users and their transactions. Make AI spend attributable and governable: build the identity, quota, routing, caching, and failover controls that let teams adopt new models and tools without re-solving the same platform problems. Partner with security, infrastructure, and product engineering teams to set the guardrails for agentic workloads and the on-behalf-of identity model for tool access. Create and monitor metrics for your team's systems, and own the operational health of what you ship: monitoring, alerting, runbooks, and on-call. Set and improve code review and design standards, and advocate for them beyond your team through writing and tech talks. Use AI tools and agentic workflows every day as a multiplier for your own code, design review, and operations, and push the team on what a small AI-native team can deliver. Educate, mentor, and grow engineers in the team, and drive best practices around design, coding, and testing. What We Look For You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have practical experience building with LLMs, agents, or AI frameworks in production: inference APIs, LLM gateways (LiteLLM or similar), MCP, tool calling, evals, or agent runtimes. You understand AI usage and the infrastructure needed to support and leverage AI workloads across different disciplines. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $153,000 - $213,000 CAD #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Atlanta, Georgia Workplace: Hybrid ROLE SUMMARY Temporal is rapidly scaling its field organization, and setting up every seller to succeed, from day one and well beyond, is critical to meeting and exceeding our most ambitious goals. As a GTM Enablement Manager, Field Training & Readiness, you’ll be the face of enablement in front of our sales teams. You’ll lead the live sessions where new hires and tenured sellers build the skills and confidence to have great customer conversations: bootcamp modules, workshops, role plays, and ongoing skills sessions. You’ll work from a defined track and a curriculum built with the enablement team, and you’ll bring it to life with your stories, your energy, and your read of the room. If you’re energized by being in front of a room, believe training should be memorable and behavior-changing rather than a slide-reading exercise, and want to partner closely with the sales and BDR teams on the ground, this role is for you. WHAT YOU’LL DO - Deliver training that sticks. Lead a regular cadence of live, interactive sessions for Account Executives and BDRs and other customer-facing roles, including new hire cohorts, skills workshops, and role plays. Your sessions are built around practice, not presentation. - Own your delivery track. Take ownership of a defined slate of programs and a delivery calendar. You’ll work from a curriculum built with the broader enablement team and make it your own through storytelling, real examples, and adapting on the fly. You’ll also flag what’s working and what isn’t so the content keeps getting better. - Partner with the field. Stay close to the sales and BDR teams in Atlanta and beyond. Show up in team meetings, run role-play and call-practice reinforcement with managers, and bring what you hear (what’s resonating, where reps are stuck) back to the enablement team. - Bring in the experts. You won’t be the expert on everything, and you don’t need to be. You’ll deliver the fundamentals with confidence and know when to pull in an AE, SA, or product expert to take a session deeper. - Close the loop. Gather feedback and simple leading indicators (participation, skill demonstration, manager input) after every session and use them to iterate. - Pitch in on the work behind the work. Scheduling, session prep, LMS updates, and content upkeep are shared across the team. You’ll own your share. - Flex where the impact is. The core of this role is training delivery. As the team and the field grow, there will be room to expand into onboarding, BDR enablement, and broader field readiness. WHO YOU ARE (NEED TO HAVES) - Location: Atlanta metro area, or willingness to relocate. This role involves in-person collaboration with our sales and BDR teams, with a strong preference for 1-2 days a week in the office. In-person attendance is required for biweekly bootcamp delivery. - You’re a natural facilitator. You come alive in front of a room. You’re outgoing, personable, and engaging; you use stories to make concepts real, and you can hold a room’s attention for hours. Your strength is how you facilitate, not just how you present: you read the audience, draw people in, and adapt on the fly. People leave your sessions feeling equipped, not talked at. - You have a credible foundation in sales or enablement. You come from one of two places: you’ve spent 2+ years in a sales role (AE or BDR/SDR management) and want to move into enablement, or you’ve spent 5+ years delivering sales training or enablement at a comparable company or level. Either way, sellers listen to you because you understand their reality and speak their language. - You earn credibility with humility. You know you aren’t the expert in our product or our customers. You build trust by being curious, prepared, and honest about what you know, and by bringing the right people into the room when it matters. - You’re coachable and a team player. You take feedback well, you ask for it, and you improve fast. Enablement touches every part of the business, and you’re as comfortable collaborating as you are owning your own work. - You’re a builder who executes. You thrive where things aren’t fully figured out yet. You move fast, hold a high bar for quality, and run through walls to get things delivered, including the logistics. - You’re AI-forward and always raising the bar. The way enablement gets done has fundamentally shifted. You’re already using AI, whether to prep and personalize sessions or to focus on the highest-leverage work, and you don’t settle for how it’s always been done. YOU’LL THRIVE IN THIS ROLE IF - You have a deep passion for Temporal’s mission and what we’re building for developers. - You’ve enabled or sold into teams working with highly technical or infrastructure products, sold to developers, and/or navigated bottoms-up OSS/PLG and tops-down sales motions. - You have experience enabling BDR/SDR teams, or you’ve led one. - You’re familiar with Command of the Message and MEDDPICC, or you’ve facilitated a comparable sales methodology. - You’ve enabled multiple audiences (e.g. AEs, BDRs, SAs, Managers). Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.