Scaled Agile, Inc. jobs

Infrastructure Software Engineer, Enterprise GenAI San Francisco, CA; New York, NY Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: - Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers - Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs. - Deliver experiments at a high velocity and level of quality to engage our customers - Work across the entire product lifecycle from conceptualization through production - Be able, and willing, to multi-task and learn new technologies quickly What We're Looking For: - 4+ years of full-time engineering experience, post-graduation - Experience scaling products at hyper growth startups - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Python or Javascript/Typescript, and SQL - Experience with Kubernetes - Experience

Senior EM, eBay Live San Jose, California, United States of America Join our team as a Senior Engineer, eBay Live, leading a high-performing team to build and operate real-time, large-scale systems at global scale. Drive technical vision, mentor engineers, and deliver innovative solutions in a collaborative, agile environment. Shape the future of ecommerce with eBay's cutting-edge platform and make a global impact.

Senior Frontier Agents Engineer San Francisco, CA; New York, NY About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment - Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements - Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows - Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development - Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation - Architect multi-agent systems that orchestrate between different models, tools, and data sources

Engagement Manager San Francisco, CA; New York, NY Scale's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will be the primary owner of the customer relationship, managing ongoing projects and driving end-to-end engagements from new projects and pilots, owning the account execution, working cross-functionally to ensure Scale products and services are delivered consistently and on-time. Within Scale you represent the customer, aligning their objectives to how Scale's operations and product teams execute and deliver. The ideal candidate is organized, execution-focused, and thrives on managing complexity. Precision across tracking, documentation, quality alignment, and customer follow-through is what makes customers successful and builds the trust that earns Scale more work. You will be on the front lines of ensuring that these customers become passionate, lifelong Scale partners. You will: - Own end-to-end execution and delivery for assigned customer projects, from kickoff through completion and quality feedback - Manage customer communication, action items, and follow-ups across multiple concurrent projects - Monitor delivery against SLAs, budget, and quality standards, proactively identifying risks and escalating blockers with proposed solutions - Review, track and improve operational performances and be obsessed with continuous improvement - Partner cross-functionally with operations and planning teams to improve delivery efficiency and drive better outcomes for customers Ideally you'd have: - 3 to 5 years of work experience, with experience in consulting, technical program management, or project coordination - A track record

Sr. Software Engineer (Technical Coach) Minneapolis, MN, United States Helps to coach the team on product management, design thinking, engineering culture, Agile and DevOps. Serves as a subject matter expert on scaling DevOps development, embraces servant leadership, und...

Scrum Master Scrum Master

Agile Product Owner, CAN ON - Toronto posted: Posted Today

Scaled Partner Manager Consultants & Agencies San Francisco, California, San Francisco, California, United States, New York, New York Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About the Role Notion is seeing a massive services layer emerge on top of the product-consultants and agencies building workflows, implementations, and repeatable “operating systems” for customers. Partner-involved commercial deals have scaled to ~40+ active at a time; we need a dedicated operator to turn this into a repeatable co-sell channel without breaking quality. This isn't a brand-new revenue pillar-we already have partner pull-but we're adding rigor and scale as the business grows (operating cadence, clean handoffs, and a quality bar that holds under volume). You'll

Agile Delivery Lead LON - London posted: Posted 8 Days Ago

Staff Software Engineer, Enterprise GenAI San Francisco, CA; New York, NY Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: - Own large new areas within our product - Work across backend, frontend, and interacting with LLMs and ML models - Deliver experiments at a high velocity and level of quality to engage our customers - Work across the entire product lifecycle from conceptualization through production - Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: - 7+ years of full-time engineering experience, post-graduation - Experience scaling products at hyper growth startups - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Python or Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and

AI Deployment Strategist, Enterprise San Francisco, CA; New York, NY Scale's Enterprise Applications business is growing faster than ever in the quest to develop reliable AI systems for the world's most important decisions . As an AI Deployment Strategist you will be right at the center of it, helping our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will take full ownership of our deployment success, turning bold ideas into real impact and ensuring every engagement delivers exceptional results. In this role, you will work directly with data, engineering, business and AI leaders at some of the world's top Enterprises. You will guide projects from the first conversation through delivery, expansion, and measurable business outcomes. Within Scale, you will collaborate closely with Machine Learning, Engineering, Product, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery. This is a fast-moving, high-impact role that blends customer strategy, operations, product strategy and execution. You will lead the team that serves as the voice of the customer and ensure their flawless execution of customer projects. You will own: - The customer outcome: You are the on-the-ground DRI. Renewals and expansion happen because the deployment worked, and the deployment working is your job. - Repeatable delivery: On time, at quality, with deployment standards you define and enforce. When internal or external teams are not moving fast enough, you push them. - The next workstream: You see where AI unlocks new business value inside

Agile Coach 2 Locations posted: Posted 8 Days Ago

Agile Delivery Coach CT - Hartford posted: Posted 30+ Days Ago

Software Engineer, Enterprise AI New York, NY; San Francisco, CA Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: - Own large new areas within our product - Work across backend, frontend, and interacting with LLMs and ML models - Deliver experiments at a high velocity and level of quality to engage our customers - Work across the entire product lifecycle from conceptualization through production - Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: - 4+ years of full-time engineering experience, post-graduation - Experience scaling products at hyper growth startups - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Python or Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum

Technical Support Engineer (Statsig) New York, NY Amplitude is the leading AI analytics platform, helping over 4,700 customers-including Atlassian, Burger King, NBCUniversal, and Square-build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2's Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude's Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion-one focused on psychological safety, empathy, and human connection-that will allow employees of all backgrounds to thrive. About The Role & Team Amplitude is the pioneer in digital optimization software. More than 1,400 customers, including Atlassian, Instacart, NBCUniversal, Shopify, and Under Armour rely on Amplitude to power their digital products. Amplitude makes product data accessible to every member of an organization, empowering them to make data-driven decisions that fuel faster product innovation and growth. As an organization, we approach challenges with humility, take ownership of our contributions, and embrace a growth mindset that pushes us to constantly

Program Manager, Senior Hyderabad, Telangāna, India Join our team as a Senior Program Manager, Scrum Master, and drive agile transformation across large-scale, cloud-based software projects. Lead high-performing teams, champion SAFe practices, and deliver high-quality outcomes in a collaborative, innovative environment. Shape the future of technology delivery with Blackbaud and make a real impact on global innovation.

Senior Appian Developer- Remote Reston, Virginia, United States of America Join our team as a Senior Appian Developer and lead the modernization and modernization of enterprise Appian environments. Drive technical solution development, mentor teams, and support large-scale plugin remediation. Collaborate in Agile teams, leverage cutting-edge Appian features, and make a real impact on mission-critical platforms for federal clients.

Agile Product Manager 2 Locations posted: Posted 14 Days Ago

Frontier Agents Engineer San Francisco, CA; New York, NY About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment - Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements - Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows - Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development - Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation - Architect multi-agent systems that orchestrate between different models, tools, and data sources - Implement

Agile Scrum Master GA - Glenridge Point posted: Posted 30+ Days Ago

Quality Lead San Francisco, CA; New York, NY Scale is looking for a Quality Lead to ensure top-tier data quality across our Generative AI programs. In this role, you will partner directly with Scale's Delivery teams to ensure that the Quality Team's core operation runs smoothly and that only high-quality data is delivered to our customers. You will: - Lead and develop teams of quality control auditors. - Partner with delivery teams to interpret and improve customer requirements. - Oversee day-to-day operations, including workload allocation and reporting insights. - Establish and uphold scalable best practices. - Drive initiatives that improve quality, efficiency, and customer satisfaction. Ideally you'd have: - A Bachelor's degree in Computer Science, Engineering, Operations, or a related field. - 2+ years improving operational/technical processes. - Strong analytical and problem-solving skills (particularly in SQL and Google Sheets / Excel) with attention to detail. - Experience building systems and processes - A hands-on background in product management, software development, or top-tier management consulting. - Proven experience taking initiative in cross-functional technical environments. Nice to haves: - Master's degree in Computer Science, Engineering, Operations, or a related field. - A hands-on background in quality assurance - Experience in AI/ML services. - Experience in a fast-growing, less-structured startup environment. - Experience building teams from the ground up. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and

Director, Agile Product Owner 5 Locations posted: Posted 2 Days Ago

Director, Agile Product Manager 2 Locations posted: Posted 15 Days Ago

Strategic Projects Lead - Coding San Francisco, CA; New York, NY Scale's Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression. You will: - Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins - Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs - Build out pipeline infrastructure to ensure quality and efficiency - Train, coach, and manage dynamic and global teams - Build analytics to make data-driven decisions - Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world - Give regular progress updates to Scale's executive team You Will Have: - A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes -