Programmatic Software Engineer

Senior Software Engineer – Editor Agent Squad

Prismic

Work from anywhere in Europe! Hello. We're Prismic. At Prismic, we believe the future is all about autonomous websites & hyper-personalised user journeys. Our mission is clear: enable marketers & engineers to shape highly empathic web journeys at scale. We are at a pivotal moment for Prismic. The rise of agentic AI systems is transforming how content is created, edited, and scaled. What used to be a sequence of manual actions is becoming a set of interactions with agents that understand intent and produce concrete results. To lead this shift, we are building agents that will become primary interfaces to the product. The Editor Agent is central to this strategy. The Editor Agent operates within the same editing surface as our users. Its role is to take an instruction, sometimes precise, sometimes ambiguous, and use the same capabilities available to human content writers to create or edit a page in alignment with intent. It can assemble common page elements such as forms, CTA sections, testimonials, company logos, generated images, and much more. It serves both human users working in the editor and other agents that need to perform editing operations as part of larger workflows. Role 💫 As Prismic scales, our ambition grows: we are redefining how marketers interact with content creation itself. We’re looking for a Senior Software Engineer to join our Editor Agent Squad and bring the Editor Agent to a level where it reliably turns instructions into expected outcomes with speed, responsiveness, and correctness. You will design and build the systems that allow the Editor Agent to: -Interpret intent -Plan editing actions -Execute changes safely within the editing surface -Remain observable, testable, and evolvable over time The Editor Agent must expose a clear interface for both human and programmatic callers, and it must grow in capability without becoming fragile as we expand what it can do. What you will be doing 🔧 -Design and implement the core architecture of the Editor Agent, enabling it to transform instructions into reliable editing operations. -Build agentic workflows that orchestrate LLMs, tools, and internal APIs to create or modify pages within the editor. -Engineer systems that allow the agent to assemble rich page structures: forms, CTAs, testimonials, logos, generated images, and other reusable components. -Develop clear and stable interfaces so both human users and other agents can invoke editing capabilities safely. -Ensure the agent is observable and testable: define evaluation strategies, instrumentation, logging, and safeguards. -Implement real-time collaboration mechanisms so agent-driven edits coexist safely with human edits. -Enable localisation and content variation workflows powered by AI while preserving brand voice and structural integrity. -Design the system to evolve gracefully as new editing capabilities are introduced without regressions or architectural fragility. -Contribute across backend and frontend when needed to ensure the editing surface and the agent experience feel seamless. Technologies and tools -TypeScript (NodeJS) -AWS -SST -Serverless architecture -PostgreSQL -LangGraph -Playwright -GitHub Actions -React -Cursor / Claude Code Are you the one? 🧠 Ideally, you: -Are comfortable designing and building scalable backend services using modern TypeScript runtimes and serverless/edge architectures. You are a full-stack engineer or aim to become one. -Have experience (or strong curiosity) in agentic AI systems: orchestrating LLMs, chaining tools, evaluating outputs, and handling ambiguity. -Think in terms of reliability: you care about correctness, observability, testing strategies, and deterministic fallbacks when AI systems fail. -Understand the complexity of editing systems: state synchronisation, concurrency, conflicts, and low-latency updates. -Can design clean, stable interfaces that other systems (and agents) can depend on. -Think pragmatically about trade-offs: balancing responsiveness, cost, determinism, and model capabilities. -Thrive in close collaboration with designers and PMs to turn ambitious AI product ideas into robust production systems. -Write clear code, documentation, and design docs, and raise the bar through thoughtful reviews. -Are not afraid of frontend work, you’re happy to improve the Page Builder UI when it strengthens the end-to-end agent experience. -See AI not just as a feature, but as a new interaction paradigm that requires rethinking product and architecture. Bonus points -Experience building content creation platforms, page builders, or rich editing tools. -Experience designing evaluation frameworks for LLM-based systems. -Experience in high-growth SaaS environments where adaptability and speed are essential. If you don’t tick all the boxes, no worries, we still encourage you to apply. At Prismic, we’re committed to embracing diverse profiles. We care about how you think, how you build, and how you raise the level of the system around you. What are the perks? 🎉 -We are hiring across Europe, and this is a remote position. -MacBook: get top-notch tech to work with. -Home office budget: set up your ideal workspace. -International share-out sessions to discuss current affairs and compare life in your respective countries (led by a public speaking expert). -Yoga classes: online and onsite, 3x a week. -Yearly company gatherings to connect with international teams. Other benefits may depend on the country you’re based in. Afraid of missing out if you’re remote? 🌍 Worry not! -This role follows a hybrid model with mandatory in-office days at least once per quarter, communicated in advance. -Opportunities to spend time at our Paris office. -Regular virtual events and global meetings to stay connected. -A relaxed and informal atmosphere where you can thrive, grow, and keep learning. Ready to help define the future of AI-powered content creation? Apply now to become a Senior Software Engineer at Prismic and help us build the Editor Agent, a primary interface to how websites are created and evolved. We can’t wait to see what you’ll bring to the Editor Agent Squad.

Staff Software Engineer, Big Data, tvScientific

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.    What you'll do: * Design and maintain a scalable identity resolution platform * Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources * Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable * Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets * Build and operate batch and streaming pipelines using modern data stack tools * Create clear documentation, standards, and runbooks for identity and governance systems * Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls * Implement privacy-by-design principles (PII handling, consent enforcement, retention policies) * Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA) * Establish monitoring and alerting for data quality, freshness, and integrity What we're looking for: * Production data engineering experience * Bachelor’s degree in computer science, related field or equivalent experience * Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala * Experience in delivering significant technical initiatives and building reliable, large scale services * Experience in delivering APIs backed by relationship-heavy datasets * Experience implementing data governance practices, including data quality, metadata management, and access controls * Strong understanding of privacy-by-design principles and handling of sensitive or regulated data * Familiarity with data lakes, cloud warehouses, and storage formats * Strong proficiency in AWS services * Excellent written and verbal communication skills * Successful design and implementation of scalable and efficient data infrastructure * High attention to detail in implementation of automated data quality checks * Effective collaboration with cross-functional teams * Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs * Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review) * High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables    In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   #LI-SM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $177,185—$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Senior Software Engineer - Observe by Snowflake, Logs

Snowflake

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. IN THIS ROLE YOU WILL: * Lead the backend architecture and delivery of the Logs product area by owning the full lifecycle from API design through production reliability, with a strong sense of what makes a great end-user experience. * Drive technical direction for log ingestion, storage, querying, and enrichment pipelines capable of handling hundreds of terabytes of telemetry daily. * Build for both humans and AI agents — design APIs and workflows that work equally well for UI users and programmatic access by AI coding agents like Claude Code and Cursor. * Partner deeply with PMs, Frontend, and Design to shape the product roadmap, translate user needs into sound technical designs, and identify backend capabilities that unlock high-value product experiences. * Champion product thinking on the engineering team — bring clarity to trade-offs, flag gaps in requirements, and proactively surface opportunities to simplify or improve the product. * Set the technical bar through code reviews, architecture reviews, and mentorship, establishing patterns that scale across the broader backend organization. * Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to maintain high code quality and accelerate delivery. QUALIFICATIONS: * 7+ years of industry experience building and maintaining high-scale backend systems in production. * Strong proficiency in Go, Java, or a comparable systems-oriented language; comfort working across the stack when needed. * Deep experience designing and operating distributed systems — familiarity with streaming pipelines, columnar storage, or log/event processing is a strong plus. * Demonstrated product acumen: you can read a PRD critically, push back on requirements that don't serve users, and propose simpler solutions without sacrificing outcomes. * Track record of leading end-to-end feature delivery in close partnership with cross-functional teams (PM, Design, Frontend). * Strong written and verbal communication — you can explain technical decisions to non-engineers and influence roadmap priorities with data and reasoning. BONUS POINTS: * Experience building observability or log management systems (e.g., Splunk, Datadog, Elastic, Loki, OpenTelemetry). * Experience operating data lakehouses under high performance and high scale. * Experience with query DSLs, CEL, or similar expression evaluation frameworks. * Prior experience in a tech lead or staff engineer capacity on a product-focused team. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com