Descriptionmonday.com is seeking an experienced, versatile Senior Software Engineer to join the Customer Intelligence team, within the BigBrain group to builds products, AI agents, and workflows that empower monday.com employees to make better, data-driven decisions. Our customers are our employees. We design systems that transform customer signals into insights and actions, and we build AI agents that observe, reason, and enable teams to operate with clarity and confidence. This is a senior role with pivotal, company-wide impact and high visibility. See more about BigBrain here: https://www.startupforstartup.com About the team: You will be part of a dynamic BigBrain group, where collaboration and innovation are at the forefront of our culture. Our team is structured to work closely with various stakeholders, including Sales, Customer Success, R&D, and Operations, ensuring that we are aligned with the needs of our internal customers. We foster an environment that encourages open communication, creativity, and a shared commitment to excellence. About The RoleAs a Senior Software Engineer in Customer Intelligence, you will play a crucial role in shaping how we leverage data to drive decision-making across the organization. Your key responsibilities will include: - Designing, building, and owning systems that transform customer and business data into actionable insights. - Building full-stack products and platforms that teams rely on for decision-making. - Designing and integrating AI agents and agent-driven workflows. - Owning systems from data ingestion to user-facing experiences. - Driving technical and product decisions that maximize business impact and long-term leverage. Our Stack - React.js, Node.js, Ruby on Rails, AWS, ElasticSearch, Redis, MySQL, Kafka, Langchain, n8n. RequirementsTo be successful in this role, you should possess the following qualifications and skills: - Strong technical skills and a passion for developing features end-to-end (client and server). - 5+ years in Software Engineering roles. - Strong experience building and owning production-grade, full-stack systems. - Proven ability to design scalable systems and make sound architectural tradeoffs. - Hands-on experience building or integrating AI agents and workflows. - Comfort operating in ambiguous problem spaces with high business impact. - Strong collaboration and communication skills when working with cross-functional teams. - High ownership, accountability, and engineering standards. - Degree in Computer Science (not a must; we're always looking for super talented people). Social TitleSenior Software Engineer (BigBrain)

• Design, build, and deploy production-grade AI systems • Contribute to scalable AI systems and ML pipelines • Deliver independently on well-defined features • Collaborate closely with senior engineers, product managers, and cross-functional teams • Ensure reliability, performance, and stability of AI services in production environments • Collaborate with senior engineers to operationalize research prototypes • Implement evaluation metrics and validation processes • Support rollout and iteration of AI features based on performance data • Work closely with product and engineering teams to implement AI-driven features

Are you a hands-on AI engineer who wants to build the next generation of legal AI solutions from the ground up? Thomson Reuters is hiring a Senior Software Engineer - AI on our CoCounsel Forward Deployed Engineering team. In this role, you will help design, build, and deploy bespoke AI solutions for law firms and corporate legal departments, turning architectural direction into robust, production-ready systems that legal professionals can trust. You'll work closely with AI architects, legal AI experts, and cross-functional partners to deliver high-impact solutions that shape how legal work gets done. About the Role In this opportunity as Senior Software Engineer - AI, you will: - Design and implement AI-powered solutions tailored to legal workflows such as contract review, litigation support, discovery automation, and regulatory analysis. - Build scalable, secure, and maintainable AI systems within architectural frameworks defined by the AI Solutions Architect, including RAG pipelines, custom agents, and enterprise integrations. - Develop and configure multi-step agentic workflows using CoCounsel, Westlaw, Practical Law, third-party AI APIs, and enterprise systems. - Implement observability, evaluation, and quality controls for production AI systems, including monitoring, tracing, benchmarking, and red-teaming protocols. - Participate in technical discovery with clients and legal stakeholders, translating legal workflows and business goals into clear engineering plans and prototypes. - Partner closely with AI architects, legal AI engineers, and peers to deliver high-quality solutions, contribute reusable assets, and improve engineering practices across the team. - Evaluate and prototype emerging AI techniques, interoperability standards, and prompt engineering approaches to improve solution quality and delivery speed. About You You're a fit for the role of Senior Software Engineer - AI if your background includes: - 5+ years of software engineering experience with a strong foundation in system design, distributed systems, and clean architecture. - At least 2 years of hands-on experience building and deploying AI/ML or LLM-powered applications in production. - Strong proficiency in Python and backend engineering, with experience building RESTful APIs, async services, and event-driven systems. - Experience with orchestration frameworks such as LangChain, LangGraph, PydanticAI, or AutoGen, along with solid understanding of RAG architectures and vector databases. - Experience with cloud platforms such as AWS, Azure, or GCP, plus familiarity with Infrastructure as Code, CI/CD practices, and secure API development. - Experience with observability and AI evaluation tooling such as Datadog, Grafana, Prometheus, LangSmith, Langfuse, Braintrust, or Weights & Biases. - Strong communication skills and comfort working independently in ambiguous, client-facing environments, including collaboration with legal professionals and non-technical stakeholders. #LI-LP2 What’s in it For You? - Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. - Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. - Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. - Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. - Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. - Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. This job posting will close . About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission. By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale. With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order. Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures. Stord is revolutionizing the logistics industry with our cloud-based supply chain platform. Our AI team builds intelligent, LLM-driven features — including conversational agents, automated workflows, and AI-powered decision support — that are deeply integrated across Stord's product suite. We are seeking a Staff Software Engineer to serve as the technical lead of the AI Platform team. This is not a heads-down IC role — you will be the technical pillar of the team, owning architecture decisions, driving technical strategy, and raising the quality bar for everyone around you. You'll work hands-on in our TypeScript-based AI platform built on Cloudflare Workers while simultaneously multiplying the output and growth of the engineers on your team. The right person for this role has strong opinions, loosely held — informed by deep experience, not by pasting LLM output into a design doc. You have a track record of building and shipping agentic AI systems in production, and you know how to direct AI-assisted development toward high-quality outcomes rather than accepting whatever comes out of the model. About the Role Stord is revolutionizing the logistics industry with our cloud-based supply chain platform. Our AI team builds intelligent, LLM-driven features — including conversational agents, automated workflows, and AI-powered decision support — that are deeply integrated across Stord's product suite. We are seeking a Staff Software Engineer to serve as the technical lead of the AI Platform team. This is not a heads-down IC role — you will be the technical pillar of the team, owning architecture decisions, driving technical strategy, and raising the quality bar for everyone around you. You'll work hands-on in our TypeScript-based AI platform built on Cloudflare Workers while simultaneously multiplying the output and growth of the engineers on your team. The right person for this role has strong opinions, loosely held — informed by deep experience, not by pasting LLM output into a design doc. You have a track record of building and shipping agentic AI systems in production, and you know how to direct AI-assisted development toward high-quality outcomes rather than accepting whatever comes out of the model. What You'll Do Technical Leadership & Strategy - Own the technical vision and architecture of Stord's AI platform, making decisive design choices and communicating the "why" to stakeholders at all levels - Drive technical strategy in partnership with the Sr Engineering Manager and Sr Product Manager, translating product goals into sound engineering plans - Evaluate build-vs-buy decisions, new tools, and architectural patterns with a pragmatic, production-first mindset - Establish and enforce technical quality standards through design reviews, code reviews, and architectural guidance - Show up — be present and accountable in critical ceremonies including design reviews, go/no-go releases, sprint planning, and cross-team syncs Hands-On Engineering - Design and build core components of our AI platform: agent orchestration, tool systems, prompt management, and integration APIs - Work daily in our TypeScript stack: Hono on Cloudflare Workers, Durable Objects for stateful agents, D1/Drizzle for persistence, and the AI SDK (Anthropic Claude) for model interaction - Build robust, scope-aware tool systems that safely expose platform capabilities (orders, inventory, knowledge base) to AI agents - Design fault-tolerant integrations with downstream services, including Elixir/Phoenix APIs, and ensure graceful degradation - Integrate ML model outputs via API layers as the team's needs evolve, without requiring deep data science expertise Team Multiplier - Be the engineer other engineers go to — cultivate trust and influence with senior and mid-level engineers through consistent technical excellence and availability - Mentor engineers at all levels, with particular emphasis on growing senior engineers into more autonomous technical decision-makers - Model and teach directed agentic development practices: how to use AI coding tools effectively, maintain a strong independent technical POV, and produce high-quality results rather than accepting raw model output uncritically - Create leverage through reusable abstractions, clear documentation of architectural decisions, and developer tooling that makes the rest of the team faster - Proactively identify technical risks and opportunities — don't wait to be assigned a ticket Cross-Functional Collaboration - Partner with Product Management to shape the AI product roadmap, providing technical perspective on feasibility, sequencing, and trade-offs - Work with the Group Principal Engineer to align AI platform architecture with broader engineering strategy - Collaborate with Data Scientists and ML Engineers to understand model requirements and design clean integration boundaries - Support other product engineering teams in adopting AI capabilities within their domains What You'll Need Required Technical Skills - TypeScript (3+ years in production) — You write idiomatic, well-structured TypeScript and are comfortable owning a large TypeScript codebase. This is the primary language of the AI platform. - Distributed Systems & Edge Computing — Experience designing stateful systems at the edge. Cloudflare Workers, Durable Objects, or similar edge runtime experience is strongly preferred. - AI/LLM Application Development — You have built and shipped agentic or LLM-powered features in production. You understand prompt engineering, tool/function calling, context management, and the practical challenges of making AI systems reliable. - Data Streaming Platforms — Experience consuming from or integrating with event streaming systems (Redpanda preferred, Kafka acceptable). Familiarity with Redpanda Connect or Kafka Connect for building data pipelines that feed AI features is a plus. - API Design & Integration — Experience designing and consuming RESTful APIs, OpenAPI specifications, and event-driven architectures. You'll integrate with multiple backend services daily. - Database & Persistence — Strong SQL fundamentals. Experience with embedded/edge databases (D1, SQLite) or PostgreSQL. Drizzle ORM experience is a plus. - Cloud Platforms — Hands-on experience with Cloudflare, GCP, or AWS. Understanding of serverless and edge deployment models. - Observability — Experience instrumenting production systems with OpenTelemetry, Datadog, or similar. You know what to measure and how to debug distributed systems in production. Required Leadership Skills - Technical Authority — You form well-reasoned technical opinions based on experience and analysis, and you can defend them in a room of strong engineers. You don't outsource your judgment to an LLM. - Force Multiplier Mindset — You measure your impact by team output, not personal ticket velocity. You actively seek opportunities to unblock, teach, and elevate others. - Accountability & Presence — You show up for the team. You're in the design reviews, the release meetings, the architecture discussions. You own outcomes, not just code. - Communication & Influence — You can explain complex technical decisions to PMs, executives, and junior engineers alike. You build consensus through clarity, not authority. - Directed AI-Assisted Development — You know how to use AI coding tools as a force multiplier while maintaining quality. More importantly, you can teach a team to do the same — establishing practices that produce better results than unguided AI output. Nice to Have - Elixir/Phoenix experience or familiarity (downstream services use Elixir) - Experience with the Cloudflare developer platform (Workers, Durable Objects, Sandboxes, Containers, D1, R2, Vectorize, AI Gateway, Workflows, Queues) - Experience with Anthropic Claude, the AI SDK (ai / @ai-sdk/anthropic), or Model Context Protocol (MCP) - Knowledge of logistics, e-commerce, or supply chain domains - Contributions to open-source TypeScript or AI projects - Experience with WebSocket-based real-time systems - Familiarity with scope-based authorization and multi-tenant systems About the Team The AI Platform team is a small, high-impact group of software engineers, data scientists, and data engineers building the AI capabilities that span Stord's product suite. You'll report to the Sr Engineering Manager of the AI team. This is a high-autonomy, high-accountability environment. We ship frequently, we expect strong technical ownership, and we value engineers who make the people around them better.