Content Producer Jobs

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic Observability is building a system that monitors production environments the way an expert SRE would: it learns what normal looks like across logs, metrics, and traces, generates its own detection queries, identifies when something meaningful changes, and launches autonomous investigations — without waiting for a human to notice first. The goal is to close the gap between the alert that fires and the answer that matters, at a scale no on-call rotation can match. You will work on the Kibana UI, where Autonomous investigations meet the engineers who rely on them, making agent reasoning legible enough that an SRE can trust it, challenge it, and act on it. You will also work on the context and detection pipelines that turn raw telemetry into structured signals, the analysis that separates noise from events worth investigating, and the multi-agent system that digs into root causes autonomously and drives remediation. What You Will Be Doing You will work across our AI SRE solution. Over time, that will include the following: User-facing surfaces: Build the Kibana interfaces where signals, investigations, and findings reach users: the views an SRE uses to follow an investigation, inspect the evidence behind a conclusion, and drive the remediation that follows. This is most of the work today, though investigations increasingly ne

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. What You’ll Own End-to-end ownership of analytical projects , from problem definition and data exploration to analysis, solution development and adoption. Deep understanding of product and business context , translated into scalable analytical solutions that teams can rely on. Reporting systems that surface signal, not noise , simplifying complex data into clear answers, trends and actions for stakeholders and leadership. Das

FEQ427R548 The Impact You Will Have The pace of Data and AI is outrunning how most teams enable their field. Databricks ships at the edge of innovation, new products, frontier AI, deeper alliances, faster than any seller can absorb. The problem? Innovation the field can't explain simply doesn't drive adoption. In this role, you'll build the strategy, plan, process, and engine that turn our fast-moving products and GTM alliances into enablement that drives revenue, making the complex simple. At Databricks, we're all builders. On the Global Sales Enablement team, partnering across Product, Marketing, GTM, Alliances, and the field, you'll put our newest products and partnerships into sellers' hands while they're still an edge over the competition. This is an individual-contributor role, you lead through cross-functional influence and what you build. What You'll Do Own the strategy, plan, process, and enablement engine, from onboarding through competitive readiness, over a 6 to 12 month horizon. Design the programs and sales plays that drive revenue, not just readiness: tie every motion to pipeline, consumption, and win rate, and choose the right motion for each goal. Turn our product priorities into field-ready enablement fast: positioning, demos, competitive readiness, and deal support, live within days of a launch. Enable the field to sell with and through our go-to-market partnerships and strategic alliances: co-sell plays, joint value props, and the partnership context that shapes a deal. Build and deliver at scale: AI pipelines, vibe coding, and automation for first drafts you curate for impact, plus the LMS and sales tooling to distribute, lift productivity, and track performance. Set the operating rhythm, cadence, metrics, and reviews, that others adopt, and keep a tight loop with the field and SMEs so friction and lost-deal patterns feed straight back into what you build. What Success Looks Like Within 6 to 12 months, the field is ready before every major launc

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. The Team: We are hiring a Senior Software Engineer, Engineering Productivity for our Engineering team at Observe by Snowflake. As part of Engineering Productivity at Observe by Snowflake, you will empower engineering teams across the organization by building scalable developer tools, robust build and test infrastructure, and automated release systems. Working at the intersection of developer experience, build systems, AI agent systems, a

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. We are looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. This is a location-specific role; candidates must be located within commuting distance of São Paulo, Brazil. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive

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. Lyft Urban Solutions (LUS) creates bikeshare programs that riders love, cities need, and operators value. We design, build and support the bikes and stations technology behind bikeshare programs in cities around the world, including Bixi. Our Montreal team sits at the heart of that work, bringing together engineering, manufacturing, supply chain, operations, marketing and commercial teams under one roof. As the People Business Partner for LUS, you'll be the go-to people partner, and will also serve as the primary People lead for the Montreal site. You'll translate business priorities into practical people plans, help managers lead through complex people issues, and make sure our programs land properly in a Quebec context. You'll report into the Senior People Business Partner for our Global Growth team, and work closely with Employee Relations, Total Rewards, Talent Acquisition, People Operations and Legal. This is a hands-on role for someone who enjoys being close to the business. Success looks like a deep understanding of the team’s objectives, metrics, performance, and opportunities in order to craft People strategies that enable those objectives. You are equally comfortable coaching a new manager through a difficult conversation and helping a director think through how their team should be structured next year. Responsibilities: Partnering with managers and leaders across LUS on team health, performance, development and retention, providing thought partnership that's direct, practical and grounded in the business. Leading the People responsibilities for the Montreal site, including liaising with CNESST, the OQLF, and running the 1% Training Law program. Manage people rhythms autonomously and with excellence: bringing performance reviews, compensation cycles, talent reviews, workforce planni

Scale is looking to grow our IT team! We are looking for someone who is excited by the opportunity to be part of a fast-paced environment that pushes you to learn while doing. This role needs to be great with people and strongly focused on learning and executing. Ideally you have been the sole IT person at a startup before and are excited to be an early member of the team here at Scale. You focus on patterns and don't like doing the same thing twice. Your goal in this position is making people happy while creating simple and repeatable solutions for all! You will: Onboarding Own the end-to-end new hire experience: coordinate with People Ops ahead of start dates, provision laptops and peripherals, and ensure every new hire is productive on day one. Create accounts and assign role-based access across our identity and SaaS stack (Okta, Google Workspace, Slack, Jira/Confluence, Zoom, Microsoft Entra ID/M365). Enroll and configure devices (Mac and Windows) in MDM with required security baselines before handoff. Lead new hire IT orientations, covering security expectations, core tools, and how to get help. Offboarding Execute timely, security-critical offboarding: suspend accounts, revoke access and sessions, and reclaim licenses on the employee's last day. Recover, wipe, and re-inventory hardware; coordinate remote returns for distributed employees on the last day. Maintain auditable onboarding/offboarding checklists to support security and compliance reviews (e.g., SOC 2 access controls). Ticket Queue & Support Own the day-to-day IT ticket queue in Jira Service Management: triage, prioritize, and resolve or dispatch every incoming request. Meet first-response and resolution SLAs; keep requesters informed and tickets updated until closure. Escalate appropriately with clear context and reproduction steps. Analyze ticket trends to find recurring issues, then eliminate them through documentation, self-service, or automation. Build and maintain knowledge base articles fo

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 Creating long-term value for our users is central to Stripe’s mission. The Go-to-Market (GTM) Industries team helps enterprise users and Stripe grow by understanding the challenges businesses face in specific industries and identifying how Stripe can help solve them. We build Stripe’s expertise across key business verticals and develop the credibility and thought leadership needed to form relationships with industry leaders. In partnership with our GTM and Product teams, Industry Leads define relevant, value-focused solutions, support our users, and identify new sources of value for users and Stripe. Our team provides industry expertise across Stripe and supports enterprise business development. We partner with enterprise users and large software-as-a-service (SaaS) platforms to address business challenges and help them grow with Stripe. What you’ll do As a member of the Global GTM Industries team, the Global Industry Lead for Healthcare will shape Stripe’s growth strategy across the healthcare ecosystem, including providers, payers, digital health companies, pharmacies, and healthcare platforms. You’ll use your industry expertise to define and communicate the value of Stripe’s solutions in a healthcare context and build credibility with senior executives and leaders across the industry. You’ll partner with Sales, Marketing, Product Marketing, Partnerships, and Product teams to embed healthcare expertise across Stripe, support strategic deal

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. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with petabyte-scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. As a PhD Machine Learning Engineer Intern on our Applied AI team, you'll take on an open research problem tied to product experiences used by millions of riders. Working closely with a Staff ML Engineer mentor, you'll scope the problem, develop and evaluate new methods on real data, and take the work far enough that it can be shared with the research community, with the goal of a paper submission to a top ML venue. If you are a PhD student who enjoys turning open-ended research questions into working systems, and you want your research to be tested against real users and real data, this opportunity is for you! Responsibilities: Own a research project from start to finish: frame the problem, review related work, propose new methods, and design rigorous offline and online evaluations Design, build, train and test ML models in areas such as reinforcement learning, sequential decision-making, personalization Write production-quality code that turns research prototypes into working pipelines on Lyft's data and ML infrastructure Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame research questions within the business context Analyze experimental and observational data, and communicate findings clearly to both technical and non-technical aud

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in! About the Role: We're looking for a thoughtful and detail-oriented Trust & Safety Analyst to help support and uphold the values of our Wizards Play Network (WPN) and Organized Play programs. In this role, you'll help ensure a positive, safe, and welcoming environment across our global community by working with partners and players to resolve concerns with care and consistency. You'll manage a caseload of investigations, communicate outcomes internally and to our community. You will collaborate with internal teams to promote transparency, fairness, and trust. By blending case management, policy application, and trust & safety principles, you'll play an important role in maintaining the integrity of our play spaces and supporting a healthy experience for our game communities. Responsibilities: Conduct complex, sensitive investigations end to end, gathering evidence from internal systems and external context, documenting findings, and applying program rules with sound judgment. Communicate clearly with partners and players about policy outcomes, maintaining professionalism in all interactions. Define and improve the processes and standards the broader team uses to manage inquiries, investigations, and communications with ti

The Role Cash App reaches 59 million monthly active customers, and top-of-funnel growth is accelerating. We're looking for a Growth Manager to be the GM for activation and habituation. You'll own the goals for how customers find their first meaningful moment in Cash App and turn it into a lasting habit, and you'll decide how to hit them. This role blurs growth and product. You won't hand requirements off to someone else. On this team, you are the product owner for your growth levers. You'll set the strategy, own the roadmap and experiment backlog, and work directly with Engineering, ML, Design, and Analytics to ship. Every lever is on the table: onboarding flows, in-app surfaces and prompts, eligibility logic, incentive mechanics, notifications, and customer communications across push, email, SMS, and in-app. You'll pick the lever most likely to move the metric, run the experiment, and scale what works. You'll sit on the Cash App Engagement Marketing team, which gives you deep customer context, lifecycle craft, and a strong peer group. But this isn't a traditional marketing role. You'll be just as comfortable shipping a product change as you are writing and launching a message or building the model behind an upsell engine. People who thrive here have come from growth product, growth marketing, lifecycle, business operations, and consumer analytics. What they share is a drive to own outcomes, an experimentation reflex, and the ability to move between strategy and the details. What's Unique About This Role Scale. With 59M monthly actives and rapid top-of-funnel growth, your experiments read in days, not months, and your wins move numbers that matter. Real ownership. You own the goal and the levers. Your roadmap shapes what Cash App builds, not just what it sends. Every lever is fair game. Product changes, in-app experiences, incentives, and comms are all yours to test and combine. The AI frontier. You'll help define what growth looks like as decisioning becomes increa

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Senior Product Manager to lead and shape Addepar’s Advisor experience for Registered Investment Advisors (RIAs). In this role, you will own the surface area, features, and capabilities designed specifically to empower wealth managers to acquire, retain, and advise their end-clients across web and mobile platforms. You will analyze early user feedback and adoption metrics to establish and execute a clear long-term roadmap. Sitting at the intersection of integrated ecosystem tools, like CRMs, Addepar data and technology, and AI, you will leverage artificial intelligence to turn platform data into tailored, context-aware insights for individual clients. Partnering closely with engineering, product design, user research, and client-facing teams, you will build and refine the tools and workflows that simplify daily operations for advisors. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Build a deep understanding of the Advisor persona within the RIA segment, l

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

Omada Health is on a mission to bend the curve of chronic disease. Job Overview: We are hiring a Staff Software Engineer to help expand Omada’s footprint in cardiometabolic care and physical activity. This is early-stage, high-ownership work: you’ll shape how we build new member- and care team-facing experiences in this space and set the technical foundation for where we take it next. You’ll operate primarily in the backend while bringing the adaptability to work across the stack when the problem calls for it. You should be comfortable learning new systems quickly, using modern engineering and AI-assisted tools thoughtfully, and making pragmatic technical choices in ambiguous spaces. You’ll own architecture end to end, set the quality bar, and help other engineers make better technical decisions while turning complex product opportunities into shipped, reliable systems. About you: You work with empathy for your coworkers, stakeholders and users. You are excited to work cross-functionally with a variety of people and ideas. You work directly with stakeholders to design solutions and drive the technical decisions for delivery. You proactively keep up with technology trends and can assess technical trade-offs between solutions across service boundaries. You care about writing quality software and recognize that there are often many right answers. You are excited about the challenge of learning new technologies and context. Above all, you are enthusiastic about providing the best possible care for our members. What you’ll be doing: Partner with product, clinical, and cross-functional teams to turn vision into shipped product. Own architecture and technical direction end to end for new member- and care team-facing experiences. Apply broad technical judgment across languages, frameworks, and systems, using modern engineering and AI-assisted tools to quickly build context, evaluate tradeoffs, and guide delivery. Set the quality bar: clean,