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At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. Lead Research Advisor, Mid-Market (Austin or Chicago) Job Description We are looking for a Lead Research Advisor to join our growing Customer Success department. You will drive and grow important relationships by helping our customers find new ways to use our platform, ensuring they achieve maximum value from their investment. This role is a critical function that merges research expertise with a customer success motion, focusing on driving platform adoption and mitigating churn risk. You will also collaborate closely with a team of Research Advisors to design, recruit, and field research projects for our customers You will have a chance to make a real difference for Dscout’s customers and build your career at the intersection of customer success and research. You are an incredible communicator and a genuine, creative problem-solver. You are our customer’s dedicated partner in success, helping them learn a new digital tool, execute powerful research, and maximize the return on their Dscout subscription. You collaborate closely with Account Directors to help to identify Dscout methodologies that best meet customer needs, build new use cases, identify growth opportunities, and ensure strong platform adoption across their organization. Internally, you are our customers’ champion, driving larger improvements to the platform and overall user experience. The Lead Research Advisor position is among the most central to Dscout’s operations, so you’ll work with people fr

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. The Partner Merchant Interfaces - Integration team within Decisions Foundations is growing and we are looking for a Software Engineer. You will be part of a fast paced team which is responsible for the APIs that Partners and Merchants use to integrate with Affirm, and also power some of our top partners like Amazon and Stripe. What You'll Do · With the support of your team, you will work on tasks that contribute to the team's projects and goals. · You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. · You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. · You will contribute to a sense of community on your team by engaging in growth and development activities. What We Look For · You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python or Kotlin. · You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. · You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. · You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effect

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. The Partner Merchant Interfaces - Integration team within Decisions Foundations is growing and we are looking for a Software Engineer. You will be part of a fast paced team which is responsible for the APIs that Partners and Merchants use to integrate with Affirm, and also power some of our top partners like Amazon and Stripe. What You'll Do · With the support of your team, you will work on tasks that contribute to the team's projects and goals. · You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. · You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. · You will contribute to a sense of community on your team by engaging in growth and development activities. What We Look For · You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python or Kotlin. · You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. · You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. · You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effect

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. Join Gallup’s DevOps team for a summer of hands-on learning and real project work. You’ll collaborate with experienced professionals, contribute to our cloud environment and strengthen the skills you’re developing in the classroom. What You’ll Do During your internship, you will: Use the latest cloud technologies to modernize infrastructure Migrate workloads to the cloud by coding, testing, implementing and supporting infrastructure automation services on Gallup’s global platform Build and improve Continuous Integration and Continuous Delivery (CI/CD) pipelines in GitHub Actions that automate how teams build, test and deploy code Work with containers and infrastructure as code using tools like Docker, Amazon ECS and Terraform Collaborate with a progressive technology team — DevOps engineers, cloud engineers, network engineers and system administrators Set up integration and support cloud environments with the end user always in mind What You Need Enrollment in an associate, bachelor’s or graduate degree program in computer science, MIS or a related field required Basic knowledge of and experience with AWS, GCP or Microsoft Azure required Basic knowledge of and experience with GitHub and GitHub Actions required Basic knowledge of and/or experience with Windows or Linux server administration, networking or infrastructure required Classroom or professional experience working with one or more of the following technologies required: IIS, Python, .NET, .NET Core, Terraform, Puppet, Jenkins, PowerShell, Docker, Amazon ECS, GitHub, GitHub Actions Familiarity with CI/CD concepts such as automated builds, testing and deployment pipelines preferred Enrollment at a college or university within a 250-mile radius of Omaha, Nebraska, required Anticipated graduation between August 2027 and May 2028 preferred; will consider 2029 graduates Availability to

The team MongoDB's Application Modernization Platform (AMP) organization is the front door of our modernization business. In our Data Migration practice we move production data - safely, repeatably, at enterprise scale - from relational estates (Oracle, SQL Server, PostgreSQL, MySQL) and from NoSQL platforms (Apache Cassandra, Azure Cosmos DB, Amazon DocumentDB) onto MongoDB. We do this both as standalone migration programmes and as the data workstream inside larger application-modernization engagements, using MongoDB's own tooling - Relational Migrator, Cluster-to-Cluster Sync, Atlas Stream Processing - alongside the open-source and cloud-native pipeline ecosystem. Our mission is to help our customers be successful by leading end-to-end their journey to MongoDB. In an era where AI agents handle routine migration mechanics - such as workload assessments, schema and query translations, and large-scale validation - our consultants focus on the high-judgment decisions that directly mitigate risk. Joining us now means helping draft the playbooks while they are actively being defined. We are seeking builders who prefer creating new frameworks over following legacy instructions. This role will be based remotely in Germany. Position expectations Delivery Plan and lead the technical delivery of data migration engagements end to end: source estate assessment, migration strategy and wave planning, schema and data-model transformation, pipeline build, validation, and production cutover with minimal downtime Design and operate change data capture (CDC) pipelines for zero and near-zero-downtime migrations - using Kafka and the connector ecosystem, Debezium and comparable log-based CDC tooling, and cloud-native replication services Bring genuine platform depth on the estates our customers are leaving: Cassandra data modeling and anti-patterns, Cosmos DB (Core and Mongo API) partitioning and RU economics, DocumentDB's compatibility surface - and use it to de-risk what the cu

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. We are always looking for Sales Development Representatives and we would enjoy hearing from you! Submit your resume and our Recruiting Team will review it. When an opportunity arises, and if there is a fit, you will hear from us. This means that you will only hear from us in case we have an opportunity that matches your profile. The SDR, Strategic Accounts is responsible for generating new business opportunities across both prospective and existing customer accounts. The role focuses on strategic account development, identifying high-value opportunities within complex organizations and creating meaningful engagement with the right stakeholders. For prospective accounts , the SDR owns outbound prospecting efforts to identify and create new opportunities within high-priority strategic accounts. This includes researching accounts, identifying key stakeholders and buying groups, leveraging intent and account signals, and developing personalized outreach that creates meaningful sales conversations. For customer accounts , the focus shifts toward expansion . The SDR partners closely with Account Directors and other customer-facing teams to identify whitespace, new teams or business units, additional use cases, and other signals that may indicate an opportunity for growth. The SDR helps create new relationships within existing customers and generates qualified expansion opportunities for the account team. Across both motions, the SDR is expected to take an accou

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud. Responsibilities: Model Safety Across Clouds Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces Drive our transparency commitments to customers and partners on data access, review, and enforcement Fraud & Abuse Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing Define the fraud signals we exchange with each cloud partner and turn th

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. We are looking for a Research Advisor to join our growing Customer Experience and Research (CXR) team. In this position, you will work collaboratively with Lead Research Advisors and Dscout clients to help our customers use our platform to design, recruit and field research projects. Our clients conduct research on a wide range of topics varying across: technology, retail, healthcare, and AI, just to name a few. You will have a chance to make a real difference for Dscout’s customers and build your career in the worlds of research and customer success. You are an incredible communicator and a genuine, creative problem-solver. You’re the client’s partner in learning a new digital tool to execute powerful research. You collaborate with clients as they develop research plans, and help to identify Dscout methodologies that best meet their needs. Internally, you are our clients’ champion to drive larger improvements to the platform and overall user experience. The Research Advisor position is among the most central to Dscout’s operations, and means you’ll work with people from across the company on a regular basis, especially our product, engineering and sales teams. If this sounds exciting to you, apply today! What you will do: Act as a true Dscout expert to train and educate clients on features and functionalities Provide specific recommendations for clients’ research design on Dscout Assist in running clients’ research projects on Dscout in

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. We are looking for a highly organized, customer-centric people manager to lead a team in the Manager, Research Advisor role on the Customer Success team at Dscout. In addition to supporting customers directly on projects, you will manage Research Advisors, ensuring consistent, high team utilization rates and delivery of the incredible service and support that we’re known for, all the while helping them to grow and develop in their own careers. You will work to identify efficiencies and new opportunities for the team to add new services and support to our customers. You will also collaborate with Lead Research Advisors and Directors to help shape future iterations of our service and delivery operations. This isn’t just about keeping projects on track (though you’ll do plenty of that). In addition to your work with customers, you will serve as a leader within Dscout. You will get experience leading a team and managing people, owning metrics and reporting, and growing your own skillset and experience. If this sounds like you, apply today! What you will do: As a Manager, Research Advisor you will… Act as a true Dscout expert to assist in running clients’ research projects on Dscout including planning, designing, recruiting, fielding, analysis, and client engagement. Manage and mentor: Support Research Advisors on project delivery, retention goals, and growth, including guidance on project approach and strategy, QA/QC on project work

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. Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput, and 99.999 availability. We're looking for a technical leader to help us to continue to scale the service with great people and reliable, cost-effective and efficient infrastructure, processes and tooling. As the Director of Site Reliability Engineering you will oversee the SRE organization focused on Okta platform, Databases, Edge networking, K8s platform, CI/CD, Observability, FinOps, and automation platform & tooling. Job Duties and Responsibilities: Build and lead a high-caliber India-based SRE organization supporting Okta’s production fleet. Partner with global engineering, product, and infrastructure leaders to deliver resilient, scalable, and secure services. Define and execute the India SRE strategy in alignment with global reliability goals. Lead post-incident reviews, drive root-cause analysis, and ensure long-term corrective actions. Participate in incident management, on-call rotations, and blameless RCAs. Implement automation and observability to reduce manual toil and improve operational efficiency. Drive adoption of modern infrastructure practices: infrastructure as code (Terraform), container orchestration (Kubernetes), and AI within Infrastructure org. H

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. Building AI-native products is a different problem than building deterministic software: the same input won't always produce the same output. Good product engineering here means designing experiences that stay useful, trustworthy, and easy to understand even when the AI underneath doesn't behave the same way twice — and knowing when that's a product design problem, not just a model problem. We're looking for a Software Engineer with 2-7 years of experience who thinks like a product owner, not just an implementer. You're comfortable being handed a vague, half-formed problem and figuring out what's actually worth building. You default to empathy for the researcher or participant on the other end of the screen, and you'd rather ship something real and learn from it than wait for a perfect spec. You're fluent enough with modern LLM-based systems to build good product experiences on top of them, even if tuning the model itself isn't your job. What you'll do Own end-to-end delivery of product features — from an ambiguous problem statement to shipped, working software real researchers and participants use Partner directly with Product and Design to help define what should be built, not just how to build it Use our design system to make sound, independent calls on smaller UX and interaction decisions, and know when a change is big enough to loop Design in Build the product surfaces (web app flows, dashboards, in-product controls) that make AI-driven behavior understand

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. AI native product is fundamentally different engineering problem than building deterministic software: the same input won't always produce the same output, and "working" means the agent behaves well across the full distribution of real world scenarios, not that it passes a fixed test suite. We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by professionals at enterprise. You're comfortable working with modern LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features. You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact reliably . What you'll do Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring. Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design Design and ship targeted behavior improvements, including changes to prompting, cont

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. We're looking for an AI Product Manager who brings the full standard PM toolkit — user research, market and competitive analysis, roadmap and strategy, cross-functional delivery, and strong collaboration instincts - and applies it to products where the model underneath doesn't behave the same way twice. You have a real, hands-on feel for what different LLMs are actually good and bad at, and you use that to prototype ideas yourself, sometimes shipping small, production-quality AI features directly. You default to ownership: of the roadmap, of outcomes, of the quality bar that decides whether something's actually ready to ship, and of what an agent should be trusted to do on its own versus when a human needs to stay in the loop. That's because building AI-native products means quality is a distribution, not a pass/fail — a feature can work correctly most of the time and still need a real answer for the failure tail, since the underlying system is non-deterministic, not just complex. What you'll do Lead the roadmap and strategy for your product area, from problem discovery through delivery and post-launch iteration Lead the evaluation bar for the model-powered surfaces you're responsible for: define eval sets, identify failure modes, and know the rollback plan before a change ships Prototype product ideas directly using your own understanding of model strengths and weaknesses, and ship small, production-quality AI features yourself when that's the fastest path to

Location: NYC - Hybrid Job Summary The Manager of Growth & Performance Marketing will support full-funnel, cross-channel performance strategy for Innisfree, Mamonde, and Hanyul. This role touches paid search, paid social, and Amazon media (Sponsored Ads and DSP), driving efficient growth across both national digital channels and key retail media environments. The ideal candidate blends hands-on platform expertise with strategic media planning and creative strategy. This role offers a hands-on opportunity to develop both creative and analytical skills while contributing to high-impact brand campaigns and product launches across multiple brands. This is an exciting opportunity for someone looking to build a foundation in growth and performance marketing while working in a fast-paced, multi-brand environment. Responsibilities Partner with our media agency and internal stakeholders to build comprehensive, full-funnel growth strategies spanning paid search, paid social, and Amazon media (Sponsored Ads and DSP) across Innisfree, Mamonde, and Hanyul. Drive performance and efficiency across all national and retail media channels, focusing on metrics such as spend, sales, ROAS, CPC, CTR, CPM, NTB%, CVR. Develop strategic, integrated media plans for major retail and brand moments (Prime Day, product launches, key seasonal and promotional windows). Understand the consumer journey and full marketing/sales funnel dynamics across DTC, retail media, and marketplace environments. Manage complex, multi-brand catalogs and large media budgets efficiently while meeting monthly performance targets. Work with platform partners and agencies to analyze campaign data, audit and optimize paid search/social/Amazon, test new ad formats, creative, or tactics, and deliver actionable insights and recommendations to key stakeholders. Provide internal stakeholders with regular performance reporting across all brands and channels. &nb

About the Team OpenAI’s API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS . The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied. The team is focused on bringing core developer and enterprise capabilities into cloud-native environments, including AWS-hosted Codex, model customization / post-training as a service, and new stateful runtime environments for agentic workloads. This work sits at the intersection of production ML systems, developer platforms, model behavior, and large-scale infrastructure. About the Role We’re hiring Machine Learning Engineers to build and improve the AI systems that help strategic partners adapt OpenAI models to important use cases in cloud-native environments. This role spans post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration. You’ll work at the boundary between partner needs and core ML systems: helping teams understand what is and isn’t working, diagnosing issues in training and evaluation workflows, and turning those learnings into improvements to the underlying platform. You should enjoy working with external technical partners, extracting the real goal from messy requests, and pushing back or reframing when the requested experiment is not the highest-leverage path. You’ll collaborate closely with Research, Applied, Safety Systems, infrastructure teams, and external technical partners to solve ambiguous model-performance problems. When you succeed, strategic partners and internal teams will be able to improve model behavior with confidence, driving measurable product improvements while the systems behind that work become more reliable, scalable, and effective over time. In this role, you will Partner with strategic customers and in