Content Lead Jobs

Job Title Field Service Engineer Job Description As a Field Service Engineer- in Central region, by using your strong technical skills you will be providing the best-in-class customer service. As part of the Service engineering organization, you will contribute to providing the right data, context, and approach which will change the way we do business and make a difference for our customers. Your role: Customer relationship management through the effective use of technical knowledge to install, service, and maintain customer sites. Assisting in service repair, preventative maintenance, field change orders / installations. Identifying and solving customer issues, providing the customer with the appropriate communication, and involving Service and Sales teams as appropriate. Operating under required knowledge of regulatory requirement. As a Field Service engineer you will be working as a team member of Service delivery team in Central region and reporting to Area Service Delivery Manager. You're the right fit if you have: University degree in Biomedical Engineering, Electrical Engineering, Telecommunication Engineering and Electronics Technology degree or any other relevant engineering major. Previous hands-on experience servicing medical or other high technology equipment. Preferably demonstrated, repair and troubleshooting skills with experience in one of our modalities appreciated. Excellent written and verbal communication skills in Spanish and good level of English Ability to demonstrate superior customer service skills daily - required. Driving license and willingness to travel. We kindly request you to apply with your CV in English. Compensation & benefits Doing meaningful work shou

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are looking for a strong Senior Software Engineer in Test (SET) to build scalable automation frameworks for multi-language SDKs, Model Context Protocol (MCP), and AI-powered workflows. The role focuses on SDK testing, MCP protocol validation, prompt automation, and developer productivity tools. Strong programming and framework development skills are essential; UI and API automation are secondary. Key Responsibilities Design and develop reusable automation frameworks for SDKs across multiple languages, including TypeScript/JavaScript, Python, Java, and Go. Automate SDK functionality, compatibility, error handling, integration, and release validation. Build and maintain MCP test frameworks to validate clients, servers, tools, resources, prompts, transports, and protocol interactions. Develop automated tests for prompts, AI workflows, tool calling, structured outputs, and LLM response quality. Develop and maintain automated test coverage for XAA, validating functionality, integrations, error handling, and reliability across supported workflows. Build reusable test utilities, mocks, test harnesses, and developer productivity tools. Integrate automated tests into CI/CD pipelines and troubleshoot flaky tests, failures, and infrastructure issues. Leverage GitHub Copilot, Claude Code, and other GenAI tools for test generation, debugging, and framework development. Collaborate with developers, architects, and platform teams to improve quality, reliability, and re

Who We Are Simpplr is the AI-powered intranet for unifying the digital workplace. It brings people, trusted knowledge, apps, and agents into a coherent digital experience. Powered by a proprietary EX Knowledge Graph, Simpplr synthesizes signals and context across connected systems to deliver personalized information and actions. The platform serves as a digital hub supporting communications, engagement, employee services, and work. With low-code extensibility and enterprise-grade security and governance, Simpplr enables confident operation at scale. More than 1,000 organizations — including AAA, the NHS, Penske, and Moderna — trust Simpplr to keep their workforce informed, aligned, and productive. Learn more at simpplr.com . Who we are Simpplr is the AI-powered intranet for unifying the digital workplace. It brings people, trusted knowledge, apps, and agents into a coherent digital experience. Powered by a proprietary EX Knowledge Graph, Simpplr synthesizes signals and context across connected systems to deliver personalized information and actions. The platform serves as a digital hub supporting communications, engagement, employee services, and work. With low-code extensibility and enterprise-grade security and governance, Simpplr enables confident operation at scale. More than 1,000 organizations — including AAA, the NHS, Penske, and Moderna — trust Simpplr to keep their workforce informed, aligned, and productive. Learn more at simpplr.com . The Opportunity Simpplr is looking for a data-driven, growth-focused Paid Media, Senior Manager to own our paid acquisition engine. In this role you'll stay hands-on with paid search, LinkedIn, and display ads, and the testing agenda. In this role, you'll drive pipeline growth for both Enterprise, Commercial and SMB segments. You'll be joining a dynamic, fast-growing company with a collaborative and fun team culture. This position reports to the VP of Marketing within the Growth Marketing team. Your Job Responsi

About the Team Enterprise Security protects the systems, identities, devices, and services that enable OpenAI's employees to work securely and effectively. We partner across IT and Security to understand risk, build practical defenses, and support a rapidly evolving technical environment. About the Role We are looking for an Enterprise Security Engineer with a focus on vulnerability management, novel vulnerabilities, and zero-day response. You will investigate vulnerabilities and security weaknesses across networks, endpoints, and SaaS, prioritize them in the context of real exposure, and drive remediation through verified outcomes. You will also build security capabilities and automation, use AI agents to solve practical problems, and help shape how enterprise security operates as agents become a larger part of everyday work. This role is open to candidates in San Francisco, CA, and to remote candidates in the United States. In this role, you will: Discover, investigate, and prioritize vulnerabilities and misconfigurations across enterprise systems, including novel vulnerabilities and zero-days with incomplete information and no established playbook. Translate technical findings into clear attack paths, business impact, and actionable remediation. Develop and validate emergency mitigations when patches are unavailable, coordinate with system owners, vendors, and incident responders, and drive durable fixes through verified closure. Improve asset visibility, ownership, vulnerability data quality, and reporting. Build and operate security tools and integrations using code, APIs, automation, and AI agents. Design controls for agent access, execution, and accountability. Contribute across endpoint, network, identity, and SaaS security, and support incident investigations when needed. You might thrive in this role if you: Have independently investigated novel or emerging vulnerabilities and driven enterprise remediation from uncertain initial reports through mitigation

The Assoc Ops Sup Analyst is responsible for providing operations support services, including but not limited to; record/documentation maintenance, storage & retrieval of records, account maintenance, imaging and the opening of accounts in coordination with the Operations - Core Team. Additionally, the Assoc Ops Sup Analyst serves as the liaison between operations staff, relationship managers, project managers, custodians and clients. The overall objective of this role is to provide day-to-day operations support in alignment with Citi operations support infrastructure and processes. Responsibilities: Part of a dual control team which performs, Intake and Outbound Processes such as Client Requests, Escheatment, Destruction and Auction. Run and analyze reports such as vault inventory reports to identify boxes in NY with drill dates ten years or prior for potential auction of contents. Manage Auction Process to Identify, Catalog, and Reconcile sale of Customer Property while adhering to State mandated regulations. Research and interpret standard information and identify inconsistencies in data or results Assist in training team members on drill processes as well as provide testing assistance for production validation Prepare basic presentations for management and audit Support trouble ticket resolution Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 0-2 years of relevant experience preferred Knowledge of Basic Banking and Servi

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe’s Accounting Products team is building modern infrastructure for the Office of the CFO. Our vision is to give finance teams, and the agents that support them, one reconciled and explainable presentation of financial truth. Today, the data and context required to make accounting decisions are fragmented across billing systems, contracts, spreadsheets, general ledgers, and the minds of the people doing the work. Finance teams spend significant time reconstructing what happened, determining the appropriate accounting treatment, reconciling results, and gathering evidence. Giving an agent access to the underlying data is not enough: it also needs the business context, accounting policies, approved judgments, and guardrails required to act reliably. Revenue Recognition is our first major proof point. Stripe has a unique opportunity to help Billing and Metronome users turn complex revenue activity—including usage-based pricing, minimum commitments, credits, and contract modifications—into accurate, explainable journal entries. Our ambition is for agents to take on the investigation, configuration, and repetitive work while accountants retain control over consequential judgments and approvals. Over time, we expect to expand into additional Office of the CFO workflows, and we are looking for a Staff Product Manager to help turn this vision into products that finance teams trust. This is a senior individual contributor role with significant ow

A Career with Point72’s Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll support Data Research team members as they work with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us. About the Sector Analyst Internship As a sector analyst, you will provide industry context and business fundamentals to our team of data scientists and engineers and support the team that delivers tailored and synthesized insights to our investment professionals. You should be curious about global industry trends, business models, and supply chains, and enjoy developing deep sector expertise. You should excel at distilling clear takeaways from complex qualitative and quantitative information—including alternative data—and be energized by an experiment-driven research approach, shifting priorities, and close collaboration across investment, research, and compliance teams. During the 10-week program based in our New York office, you will gain exposure to: Developing subject-matter expertise on an assigned sector related to key themes and KPIs that drive the industries and companies within your sector How data researchers support investment professionals and help inform their investment decisions Composing research reports and synthesizing findings Collaborating with our other proprietary research teams to source and extract

Job Requisition ID # 26WD97978 Position Overview The DFA Applied AI team at Autodesk builds intelligent, AI-powered solutions that enable users to discover, access, manage, and collaborate on design and manufacturing data through natural language and intuitive user experiences. Our work combines LLM-powered agents, scalable backend services, and reusable UI components to deliver seamless, connected workflows across Autodesk products and data sources. Responsibilities Lead the architecture, design, and delivery of full-stack AI-powered solutions, from backend agent services to React/TypeScript user experiences. Design and develop LLM-powered agents, including tool calling, orchestration, streaming responses, and multi-turn conversational workflows. Build scalable backend services, APIs, and integrations that enable secure access to design and manufacturing data. Develop reusable React/TypeScript components and intuitive user experiences for AI-powered and data access workflows. Drive technical decisions across agent architecture, LLM integration, backend services, and cloud infrastructure. Ensure production readiness through robust testing, security, performance, reliability, and observability. Mentor engineers, establish engineering best practices, and own features from design through production. Minimum Qualifications 10+ years of software engineering experience building and delivering large-scale production systems. Hands-on experience with LLM application patterns, including tool use, streaming responses, multi-turn conversations, and context/session ma

About the Team API Agents builds the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems that can reliably complete real work. We carry the capabilities behind Codex into a much broader set of products and workflows across software engineering, research, finance, healthcare, enterprise operations, and more. Our work spans search and connected context, computer use, memory, delegation and multi-agent coordination, and safe execution. Sitting at the intersection of Research, Codex, infrastructure, and applied product teams, we build reusable agent capabilities that compound across the ecosystem. About the Role We are looking for an experienced backend software engineer to build the core systems behind the next generation of agents. You will design reliable services and abstractions that help agents find the right context, use tools and computers, retain knowledge, coordinate over long-running workflows, and take action safely. The role combines deep backend and infrastructure work with strong product judgment, with opportunities to work across agent runtimes, orchestration, search, execution environments, identity and permissions, observability, and evaluations. This is software and systems engineering rather than model training: success comes from strong backend fundamentals, high agency, and the ability to turn fast-moving research capabilities into dependable production primitives. In this role, you will: Design, build, and operate the shared agent harness and backend infrastructure that power long-running, high-value workflows across OpenAI and third-party products. Build reusable capabilities across search and connected context, computer use, memory, tool execution, delegation, subagents, and multi-agent orchestration. Establish the foundations agents need to operate safely in production, including secure execution environments, identity and permissions, observability, evaluations, reliability, and cost and latency effi

About the role We are looking for a Senior Business Operations Associate to help run an AI-native operating environment across people, AI agents, and cross-functional teams. This is a high-ownership business operations role for someone who combines strong business judgement with enough technical fluency. You will help turn AI-agent capabilities into reliable production workflows, keep teams aligned in real time, and ensure that AI-heavy processes have clear ownership, quality standards, handoffs, and escalation paths. The role sits at the intersection of business operations, product operations, technology, and digital assets. You will need to move quickly, communicate clearly, understand changing market context, and remain dependable when urgent internal issues arise. What you’ll do Real-time business and team alignment Coordinate real-time alignment across business teams, Engineering, Product, Operations, AI agents, and other stakeholders. Translate business priorities into clear workflows, owners, decision points, and next actions. Identify bottlenecks, unclear handoffs, conflicting priorities, and gaps in execution. Maintain visibility across fast-moving initiatives and ensure critical work continues to move forward. Stay informed about market, product, and digital-asset developments that may affect internal priorities. AI-enabled production workflows Partner with Engineering to identify where AI-agent capabilities can improve business and operational workflows. Help translate business requirements into agent prompts, workflow logic, operating procedures, and quality criteria. Support the deployment of AI-agent capabilities into reliable production processes. Test and refine AI-heavy workflows, including edge cases, failure modes, escalation rules, and human handoffs. Build practical feedback loops between business

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times Shows department is hiring a staff editor to fact check episodes of Hard Fork, both in video and audio formats. You will work with producers and editors to check facts and assertions, with extra attention to the tone and context in which they're delivered. You are comfortable working in print, audio and video mediums in a fast-paced news environment. We're looking for exceptional news judgment, an investigator's mind and the ability to dive into unfamiliar material on deadline. And while we value deliberate, careful checking, speed is also important. The fact checker will be part of a small group of producers and editors, so collegiality, diplomacy and a collaborative spirit are a must. This is a part-time role for 20 hours a week to start. It could scale up over time. You will report to the Executive Producer of Hard Fork. This is an in-office position, based in New York City and includes regular attendance in the office each week. There may be some flexibility to work remotely per your departmental guidance. Responsibilities: Check factual assertions in podcast and video episodes to determine veracity and correctness on deadline Check prep documents and listen during live recordings to track facts and assertions to be verified Listen to drafts, checking all facts, noting attribution, and providing guidance on editing or adjusting material as needed Conduct quick and accurate research to gather and verify facts in collabo

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . Enterprise Workload is a unified server backup and archival built on Druva’s secure, enterprise-trusted, and high-performance cloud platform. With Phoenix, data can be stored indefinitely with limitless snapshots and flexible retention policies, while at the same time significantly lowering your backup costs. Druva takes a multi-layered approach to securing data that is unmatched in the industry – enabling organizations to address both their data security and data privacy requirements. As a Senior Staff Software Engineer you will be responsible for the design, implementation and maintenance of software modules owned by a team. Your primary focus will be on the development of all backend server side components and ensuring high performance and responsiveness to requests from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills AI first mindset - Ability to effectively leve

Knowledge Graph & Semantics Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Turn complex data into connected knowledge that drives smarter decisions. The Role Financial services firms face significant challenges – and opportunities – in how they manage and extract value from increasingly complex data. Their ability to compete, comply and transform depends on connecting information across data silos and turning it into knowledge that people and machines can meaningfully understand. Graph and Semantics Engineering are emerging enterprise data technologies that use ontologies, advanced analytics and AI to represent knowledge in expressive and innovative ways. Next-generation AI systems powered by knowledge graphs can help organisations manage complexity, provide greater context and deliver more explainable outcomes. As a Knowledge Graph & Semantics Consultant, you’ll help our clients understand, design and implement solutions using graph and semantic technologies, advanced data management and analytics. You’ll also explore how approved AI tools, automation and AI-enabled workflows can improve the speed, quality and insight of delivery, while maintaining appropriate human judgement, review and responsible AI guardrails. You’ll contribute to the continued growth of Capco’s Data & Analytics practice, helping develop our capabilities, talent and thinking around how graph and semantic technologies can create value for financial services organisations. What You’ll Do Design and implement knowledge graph, semantic modelling and advanced data solutions that connect structured and unstructured information. Help clients identify and deliver practical use cases for graph and semantic technologies, advanced analytics and AI. Use approved AI tools and AI-enabled workflows where appropriate to accelerate research, modelling, analysis and delivery, with human-in-the-loop review and validation. Build Capco’s graph and semantic c

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

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. The Lyft Rider Science team is seeking an Applied Scientist intern to develop next-generation user simulation methods using state of the art AI methods. The goal of this project is to develop and validate LLM-based Rider Agents that can serve as behavioral proxies for real riders, and study when agent simulations can provide reliable signal about rider responses to product interventions before online experimentation. You will build agent-based simulation systems grounded in real rider context and behavioral data, evaluate their fidelity against observed rider behavior and historical experiments, and study where these simulations can accelerate product iteration and experimentation. This role combines LLM engineering, agent-based modeling, machine learning, and causal inference with direct applications to real-world rider products. The expected outcome is to build a working Rider Agent simulation prototype, establish an evaluation framework for measuring simulation fidelity and validate the framework using historical rider experiments. Responsibilities: Develop LLM-based Rider Agents that represent heterogeneous rider contexts, preferences, histories, and behaviors Build agent-based simulation environments for evaluating rider interactions with different product experiences and interventions Build evaluation pipelines to assess realism, robustness, and mechanism plausibility of simulated behavior against human data or established theory Analyze emergent behaviors and interaction dynamics in simulated populations under different user segment and marketplace conditions Conduct experiments and ablation studies on agent behavior, interaction dynamics, and simulation validity Apply the simulation framework to real Rider product problems and assess its usefulness for hypothesis generation, product iteration