Content Management Sr Analyst Jobs

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. The Senior Software Engineer Opportunity The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems. Bring depth in agent execution or model quality and help turn it into working software customers can trust. About You Production builder: You have shipped AI software and know what changes when real users depend on it. Careful evaluator: You investigate failures and use evidence to judge quality. Strong owner: You follow an improvement through code, evaluation, release and customer use. What you will be doing Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work. Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling. Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state. Keep authorization and sensitive writes behind application po

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. The Staff Software Engineer Opportunity The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems. Bring depth in agent execution or model quality and help turn it into working software customers can trust. About You Production builder : You have shipped AI software and know what changes when real users depend on it. Careful evaluator : You investigate failures and use evidence to judge quality. Strong owner: You follow an improvement through code, evaluation, release and customer use. What you will be doing Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work. Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling. Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state. Keep authorization and sensitive writes behind application p

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. The Principal Software Engineer Opportunity The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems. Bring depth in agent execution or model quality and help turn it into working software customers can trust. About You Production builder : You have shipped AI software and know what changes when real users depend on it. Careful evaluator : You investigate failures and use evidence to judge quality. Strong owner: You follow an improvement through code, evaluation, release and customer use. What you will be doing Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work. Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling. Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state. Keep authorization and sensitive writes behind applicati

You lead rollouts, monitor health and usage, and keep stakeholders informed. You bring the technical fluency to guide deployment and adoption decisions, connect technical priorities to business outcomes, and engage specialists when deeper expertise is needed. You partner with Sales on expansions and renewals, and with Solutions, Support, Product, and Engineering on implementation, issues, and feedback. What you’ll do here Own onboarding and rollout plans for new customers; coordinate with Sales and Solutions for a smooth, successful implementation of Coder’s platform. Remove barriers to adoption so customers achieve their desired outcomes expediently. Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations. Own the account’s technical success plan: translate customer goals and deployment context into adoption milestones, technical priorities, and a roadmap for broader use of Coder. Align owners and timelines, and track progress against agreed outcomes. Guide customer admins and platform teams on deployment readiness, configuration best practices, and ongoing adoption. Lead technical discovery, facilitate admin enablement, and troubleshoot common adoption blockers; coordinate Solutions, Support, or Engineering for architecture design, complex implementations, and deeper troubleshooting. Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross-sell motions. Oversee renewals and forecasting, ensuring timely, successful commitments. Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve them. Monitor and report on customer health and usage, including technical risks and progress toward adoption milestones. Develop deep expertise in Coder’s products to provide global customer coverage. What we’re looking for 5+ years in customer success or a technical customer-facing role, with experience independe

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Ema builds AI agents that act on sensitive enterprise data and systems. You’ll make sure the agents, and the platform they run on, are secure by design. You’ll build security controls for autonomous agents operating across multi-tenant enterprise environments, including cloud, on-prem and air-gapped deployments. You’ll solve zero-trust problems where the code isn’t static logic but non-deterministic models making live API calls against sensitive customer data. Our agents orchestrate 100+ LLMs, call third-party tools through MCP, execute code in sandboxes and drive headless browsers, and each of those is an attack surface you’ll help define. Role Overview What you’ll own AI and agent security Threat model new AI agent features before launch: direct and indirect prompt injection, jailbreaks, data exfiltration through agent outputs, and over-privileged tool use Design guardrails for agentic workflows: least-privilege tool and connector scopes, human-in-the-loop approvals for high-risk actions, and output filtering Enforce tenant and data isolation across retrieval (RAG), context stores, and model calls, so no customer’s data leaks into another’s context Secur

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Solution Engineer (Expansion Patch) As a Senior Solution Engineer, you will be a strategic technical leader for Snowflake’s existing enterprise customers in Singapore, with a primary focus on Financial Services (FSI) and Digital Native sectors. You will partner closely with Account Executives to drive adoption, workload expansion, and multi‑line-of-business growth across your accounts. You will act as a trusted advisor to senior technical and business stakeholders, guiding them on how to use Snowflake as the core of their data, analytics, and AI strategy. This is a field-facing, customer-first role that combines deep technical skills, strong industry context , and the ability to design and communicate high‑impact architectures. KEY RESPONSIBILITIES: Drive Adoption in Existing Accounts Own the technical expansion strategy for a portfolio of Snowflake customers in Singapore. Identify and map customer business objectives to workloads, use cases, and lines of business that will benefit from Snowflake AI Data Cloud. Solution Design, Demos & POCs Design and deliver compelling demos and technical narratives tailored to each customer’s architecture and use cases. Lead and execute POCs/Pilots that prove value and de‑risk platform decisions, including success criteria defi

Job Requisition ID # 26WD101614 Position Overview Autodesk Finance is seeking a Manager, Finance Business Partner to support our Corporate Divisions. This role reports to the Senior Director of FP&A-G&A and partners directly with senior leaders in Finance to shape budgets, forecasts, and plans. The right candidate is highly analytical and strategic, with a strong command of forecasting, accounting, and strategic planning, and moves comfortably between high-level strategy and day-to-day financial detail. They present with clarity and confidence, and influence through insight and credibility, not just data. They bring a passion for excellence in execution and for continuously improving how we work. Responsibilities Deliver forecasts and analyses, and take proactive steps to achieve financial targets and hold quarterly variance to no more than 1% Act as a trusted business partner to senior leaders, translating financial results into clear insights and recommendations that influence decisions Prepare critical financial analyses and executive-level presentations that explain the context, the "why" behind our financial results Ensure compliance with financial and accounting policies and programs Provide oversight of the analysts who run the headcount and variable spend forecasting process supporting Finance, reviewing their work and guiding them on analytical rigor, accuracy, and communication Drive process improvements, automation, reports, and dashboards across FP&A-G&A, with a focus on operational excellence and consist

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are Justworks is seeking a seasoned and strategic Senior People Business Partner with a strong record of developing and implementing people strategies and initiatives that meaningfully contribute to business results. As a Senior People Business Partner, you will be a trusted partner to your client group organizations, enabling leaders to build high-performing teams, and fostering an environment where Justworkers (employees) can grow, thrive and feel seen. You are a true HR guru. There is no problem too big or too small that you cannot tackle using your extensive knowledge and good judgement, making you an essential partner to the business and member of the People team. You skillfully balance the needs of the business with the experience of Justworkers, keeping our ambitious goals of helping small businesses grow with confidence top of mind. You’re curious and inquisitive, recognizing the need to gain relevant context and partner with the appropriate stakeholders to propose informed solutions to the business. If you thrive in fast-paced, matrixed environments and are energized by solving complex talent challenges at

About the Role Chime is hiring a Workplace Experience Coordinator for our New York City office. You'll own a core set of the day-to-day operations of our recently opened 84,000 sq. ft. space, working closely with our Workplace Experience Lead based in New York City and our Regional Workplace Manager based in Chicago as part of a small, hands-on team. Our New York City office is still new, which means some processes and playbooks are already in place while others are continuing to evolve. That creates a lot of variety in the day-to-day and a real opportunity to shape how the space operates, how Chimers experience it, and how Workplace scales with the office as it grows. The details matter. We’re building a great experience for Chimers, and like any good product, that experience often comes down to the small things. We’re looking for someone who sees it that way - someone who understands that a restock, a room reset, or a quick follow-up may seem small on its own, but together – those moments shape the overall experience. Someone who treats the office as something they’re building, not just maintaining; who is curious about how things work, takes ownership of their scope, and raises issues early with enough context for the team to move quickly. This role is expected to be in the office five days a week. In this role, you can expect to: Create an exceptional day-to-day workplace experience in our New York City office, ensuring the space feels welcoming, functional, and ready for Chimers to do their best work Serve as a friendly and reliable first point of contact for workplace questions, requests, and onsite needs, helping Chimers navigate the office and connecting them to the right resources when needed Partner closely with Workplace Experience teammates and cross-functional partners, including Culinary, IT, People Experience, Safety and Security, and Internal Comms to create a seamless Chimer experience Support onsite meetings, team gatherings, events, an

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. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the role As Engineering Manager for the Marketing & Privacy Engineering (MPE) team, you’ll lead two engineering pillars - Marketing and Consumer Privacy Engineering - under a shared mission to build trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. What you’ll do Lead, develop, and support engineers across the Marketing and Consumer Privacy pillars, creating an environment where they can do their best work, grow their craft, and take on greater responsibility. Establish and continuously improve a shared operating model for MPE that unites Marketing and Privacy around a common mission while creating clarity around each pillar’s priorities, technical ownership, decision-making, and ways of working. Partner closely with the Product Manager and technical lead for each pillar to translate product and business priorities into clear engineering plans and deliver against their respective roadmaps while maintaining alignment to MPE’s shared mission. Guide engineering strategy and execution across Logged-Out Web, web experimentation, marketing integrations, attribution and measurement, consent, privacy experiences, and consumer data collection. Build strong partnerships across Engineering, Product, Marketing, Privacy, Legal, and adjacent engineering teams, establishing clear ownership and relia

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. What You'll Do Architect and implement scalable multi-agent systems: A2A collaboration, memory, reasoning, tool use, workflow orchestration, observability. Build agentic workflows on the Claude ecosystem: Claude Code–style engineering, MCP tool access, and AWS AgentCore runtime patterns. Design and optimize Vector RAG & GraphRAG: retrieval, semantic search, grounding, citation, graph traversal, and context engineering. Deliver technology-agnostic hybrid architecture: across AWS, GCP, Kubernetes, and on-prem/distributed data platforms. Partner across engineering, manufacturing, product, validation, and data teams; lead PoCs, mentor, and set standards. What You Bring (Required) Bachelor's or equivalent experience in CS, AI, Data Science, or a related field; 8+ years in software/AI-ML, enterprise, platform, or knowledge engineering. Validated delivery of enterprise-scale Agentic AI, Generative AI, and RAG/GraphRAG solutions. Hands-on Python plus agentic framewo

About the Team OpenAI’s Research Data team exists to accelerate the evaluation, safety and capabilities of our models and products. Made up of technical operators and software engineers, we design the methods through which we acquire and create data. About the Role As a Data Program Manager, Science, you will help researchers develop and execute scientific data programs, connecting OpenAI’s research priorities with relevant data, expertise and external partners. You’ll work closely with researchers to understand their needs, assess the scientific and practical value of opportunities, and develop partnerships across the scientific ecosystem. The work could range from acquiring existing datasets to shaping research collaborations. You’ll carry opportunities from initial investigation through commercial discussions, agreements, delivery and research use, exercising sound judgement around sensitive data and relationships. Our current work focuses particularly on biology and chemistry. We welcome different combinations of scientific, technical and partnership experience. This role is based in our San Francisco HQ. In this role, you will: Develop data strategies with Research. Translate research goals, model limitations and evaluation gaps into evidence needs and success criteria. Compare acquisition with internal, public and commissioned alternatives. Find distinctive sources for research. Build trusted local and international relationships across research and industry, including organisations at the scientific frontier. Assess opportunities in scientific context. Inspect samples for provenance, context, quality and completeness. Assess usefulness, involving researchers and specialists as needed. Shape partnerships with lasting scientific value. Understand partners’ ambitions and define pilots, deliverables and acceptance criteria, considering expertise, scientific contribution and continuing relationships alongside commercial terms. Lead commercial and operational execu