Engineering Execution Manager Jobs

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As a Software Engineer on ML Platform at SpaceXAI, you'll build the infrastructure that turns real product usage into better models — and keeps research moving fast on large GPU fleets. ML Platform is organized into four teams. Depending on your background, you may join any of them: Telemetry — Own the collection and serving path that turns real product use into a record research can trust; without slowing the product, and under a small, explicit policy. Client-side or high-volume ingestion experience is a plus. ML Data Platform — Build the shared environments and pipeline substrate researchers extend, so new experiments don’t fork their own stack. Observability — Make it easy for researchers to start, watch, and debug their own runs. ML DevX and Systems — Shorten the path from idea to a trusted run on the research fleet. We're looking for strong distributed-systems and infrastructure engineers who want to sit next to research and ship platform primitives that move the product. We're in-person with cozy offices in North Beach, San Francisco, Palo Alto, and Manhattan, New York, complete with well-stocked libraries. What you’ll do Design, build, and operate core pla

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This is an analysis and research role inside the core product organization. It works closely with the Lead Analyst and Senior Product Marketer to bring credible market, customer, competitor, and product evidence into the decisions Sapience AI makes. The Junior Data Analyst is the evidence and research engine behind the team’s work. You will gather information, evaluate sources, structure data, maintain research systems, identify patterns, and turn complex material into clear first-draft findings. Your work will support market and category strategy, product decisions, positioning, competitive intelligence, pricing and packaging research, launches, and adoption analysis. This is a junior-level professional role with meaningful responsibility. It is intended for someone with at least three years of relevant experience; it is not an internship or a first professional role. You will be expected to independently own well-scoped assignments, ask thoughtful questions, communicate clearly, work with care, and apply sound judgment when distinguishing a useful signal from incomplete or misleading information. Final strategic accountability remains with the Lead

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 Team The SRE team is dedicated to deeply integrating large language models (LLMs), AI Agents, and engineering platform capabilities to build an intelligent application system for R&D, operations, stability, and business scenarios. By creating an AI application architecture that is observable, evaluable, governable, and continuously evolving, the team is driving the company's shift from "tool-assisted" to "intelligent collaboration," improving R&D efficiency, system stability, fault diagnosis efficiency, and the quality of business decisions. What You’ll Be Doing Design and build AI Harness capabilities for SRE / DevOps scenarios, including fault detection, change analysis, capacity risk identification, automated inspection, drill evaluation, and recovery recommendations. Drive the development of an automated RCA (Root Cause Analysis) system, combining logs, metrics, distributed tracing, events, changes, topology, and other data to achieve root ca

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns the shape of the data that AI learns from and reasons over. You design the data models, schemas, and representations that connect a community’s knowledge to the models, the KO graph, and the COGENT architecture. You work where data architecture meets machine learning: how knowledge is modeled, how features and embeddings are represented, and how data flows from raw sources to the systems that reason over it. You are the person who makes sure the data foundation is coherent, so everything built on top of it, from retrieval to reasoning to models, has something solid and consistent to stand on. Why this role exists AI is only as good as the data it learns from and reasons over. When data models are inconsistent or poorly designed, every system downstream inherits the mess, and trust erodes. Modeling data for collective intelligence is hard: it has to serve models, graphs, retrieval, and reasoning at once, across many communities, without fragmenting. The Senior AI/ML Data Model Architect owns that foundation. You design the data models and representations that keep the platform coherent and let every AI system built on them work well. Wha

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role Ray aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend. About the Ray Core Team The Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray. A snapshot of projects you can work on: - Optimizing performance of large-scale workloads on Ray - Stability and stress testing infrastructure - Improving fault tolerance (HA) As part of this role, you will: Develop high quality open source software to simplify distributed programming (Ray) Identify, implement, and evaluate architectural improvements to Ray core Improve the testing process for Ray to make re

About the Role OKX is looking for a Senior Director of AI to lead both people and product — building and managing a high-calibre AI team while staying deeply involved in the design, evaluation, and production deployment of autonomous agent systems. This role calls for a leader who leads by doing: technically grounded, sharp on product judgment, and able to translate both into tangible business outcomes. What You'll Do Team Leadership — Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function Agent Product Delivery — Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations Eval-Driven Development — Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems Agent Harness Design — Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios LLM Orchestration — Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control Engineering Workflow Integration — Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value Cross-functional Alignment — Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities What We're Looking For Must-have Master's or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred) 10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas Proven track record of t

Please confirm the content below matches the template that TAO provides and review the benefits at the bottom: [Make a Copy] OKX Job Description 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 (3-4 sentences of the hiring team and the opportunity) What You’ll Be Doing What We Look For In You Nice to Haves 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 [delete for remote roles] Comprehensive healthcare schemes for employees and dependants [delete for remote roles] 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 j

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 You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout. What You’ll Be Doing Lead the product planning, requirement analysis, and solution design of the AI Native engineering platform, and drive continuous product evolution and adoption. Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engine

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a BI Engineer to join our London team. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. About the Team The Core BI team builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership, and a strong user focus to make BI tooling reliable, secure, scalable and self-service. The team supports the current BI ecosystem while helping shape a more integrated experience across the DoorDash group. About the Role As a BI Engineer on the Core BI team, you will build and operate the models, systems and automation behind our BI platforms. This will include supporting our extensive user base on our current BI stack (primarily Looker and Sigma) while helping shape a single, more integrated BI platform across DoorDash, Deliveroo and Wolt. You will own problems from discovery

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Travel to customer facilities and lead inspection, installation, and servicing visits for Kargo’s customers. Install Kargo towers and other hardware products at customer facilities. Coordinate with contractors at customer sites for electrical work, forklift modifications, and installation assistance. Coordinate tower and tool shipping from Kargo inventory to customer sites. Work with Manufacturing to provide configs and specs determined from site visits to customers. Work with our Product and Hardware teams to make engineering recommendations to simplify installation and relevant features. Interact with customers at on-site visits. This is not a sales role and most customer visits will include people from Kargo’s Sales, Product, and Customer Success teams. Still, this role will involve coordinating with customers to discuss timing and installation preferences. High expectation for travel, you must be comfortable with near 90% travel. Experience 3+ years of experience servicing industrial equipment, vehicles, utilities, robots, or similar. Expertise in mechanical, electrical, and optical troubleshooting. Preference for someone who has worked across all three systems. High availability for short-

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Agent Experience builds the AI-powered backend services that power agent-assist tooling on our Astra support surface — helping support agents resolve customer, merchant, and Dasher issues faster. We sit at the intersection of LLM-backed product features and high-volume, latency-sensitive support infrastructure. What you'll do Build and maintain backend services for agent-assist features on Astra, taking on feature-level work with increasing independence. Translate requirements into working code: design the feature-level approach, write an RFC when the change affects other engineers, and implement it end-to-end. Integrate with LLM-backed features — wiring up prompt/completion calls, handling provider responses, and validating output quality and correctness. Break down assigned project work into tasks, provide accurate estimates, and keep your own progress and dependencies on track. Apply AI tooling thoughtfully to your own workflow (coding, testing, review) and critically evaluate its output rather than taking it at face value. Participate in code review — both giving and receiving — to help the team hold a high bar for correctness, quality, and standards compliance. Collaborate with senior engineers and partner teams to clarify problem definitions, unblock yourself, and flag risks or blockers early. What we're looking for Solid backend engineering fundamentals in Go, with experience shipping and maintaining production services. Exposure to LLM-powered features in production (prompt/completion integration, provider APIs) is a plus — we'll ramp you up if you haven't worked with this directly. Ability to independently own feature-level work: from a

Job ID: 111265 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Maintain and document current and new system requirements. Perform Server Administration tasks, including user and group administration, research event logs to continually improve service for end users. Work with product, engineering, and operational business stakeholders to understand and prioritize business system’s needs. Monitor infrastructure and platform performance. Create architectural designs that enhance resilience and promote business continuity. Manage the deployment of new software, version upgrades, patch releases and major incidents. Manage development, test, release, and production environments in Cloud. Identify actionable, value-added optimization and efficiency opportunities, and contribute to the continuous improvement of applications and processes. Manage stakeholder requirements and develop detailed implementation plans. Employ agile methodology in the development of software, systems interfaces, and application configurations. Experience: Education and Experience: Master's degree or foreign equivalent in Computer Science, Engineering, or related field. 2 years of experience in job offered, software development, or related occupation. Skills: Experience with IT systems and Business Systems Oracle Fusion cloud. Experience with Oracle Cloud ERP and Boundary apps. Experience with SQL, PL/SQL, BI, OTBI, and BICC reports. Experience with Oracle finance and Source Code Management (SCM). Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid tim

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. About the Role Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do. The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard. You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it. Why This Role Exists Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. About the Role Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do. The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard. You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it. Why This Role Exists Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. About the Role Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do. The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard. You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it. Why This Role Exists Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand