The Opportunity We are seeking an exceptional Salesforce Engineer to design and evolution of our Sales Cloud and Service Cloud platforms. In this strategic role, you'll own the technical architecture, govern platform standards, and drive transformation initiatives that impact thousands of users across go-to-market and customer success functions. You'll be our technical authority on Salesforce best practices, scalability, and innovation. What You'll Do Platform Architecture & Governance (15%) Design end-to-end solutions integrating Sales and Service Cloud; establish metadata frameworks, custom objects, and data models for scalability Define platform standards, coding guidelines, and integration patterns; ensure compliance with Salesforce Governor Limits and platform constraints Lead org hygiene initiatives, technical debt reduction, and long-term roadmap evolution Solution Design & Implementation (60%) Architect complex workflows, automation, omni-channel, and AI-driven capabilities (Einstein Analytics, Einstein Copilot) Design secure integrations (MuleSoft, AWS, REST/OAuth) between Salesforce and enterprise systems Lead implementation of key initiatives (data cloud, person accounts, skill-based routing) from design through production Mentorship & Technical Leadership (25% Guide Salesforce developers and admins; conduct design reviews and architecture validation Partner with product, business systems, and engineering leadership on roadmap alignment What You'll Bring Required: Ability to work on-site in our Austin, TX offices three days per week 8+ years of Salesforce architecture and implementation experience, with deep expertise in Sales and Service Cloud Expert-level knowledge of Apex, Lightning Web Components (LWC), Flows, and SOQL optimization Proven ability to design secure, scalable integrations (REST APIs, OAuth, SSO, MuleSoft) Experience architecting multi-org, multi-cloud solutions in enterprise environments Strong knowledge of Salesforce Governo
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Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Welcome to the video-first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video . Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now… Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s, and more. Read stories from happy customers and what 1,200+ people say on G2 . In 2023, we were one of 7 European companies t
Zoox's Robot Software Infrastructure team is seeking a passionate software engineer to help develop and advance the common performant operating system that powers several devices on our Robotaxi including onboard AI systems running Autonomy software. This team develops platform-level software and services, including custom operating systems that enable complex, hardware-accelerated workloads critical for autonomous driving on automotive-grade hardware. We work closely with cross-functional teams—including other software developers, hardware engineering, release management, manufacturing and operations—to support vehicle development and deployment at scale. If you are excited to explore a broad problem space and are mindful of how components fit within a larger system, you may be a great fit! In this role, you will: Design, develop, and maintain the operating system platform that powers various on-bot devices and applications Configure and manage embedded Linux build systems (e.g., Yocto) and bootloader processes (e.g., U-Boot) to ensure reliable system startup and maintenance Develop and optimize device drivers and kernel-space components using C, C++, or Rust to meet performance and reliability requirements Collaborate cross-functionally to support seamless integration and delivery of the OS platform, triage issues, support new hardware bring-up and manufacturing functions Qualifications 4+ years delivering embedded software for production systems Have a deep understanding of Linux, build systems like Yocto, and bootloaders like U-Boot Be familiar with Linux init systems (e.g., systemd), containerization concepts (e.g., chroot, cgroups, Linux namespaces), and filesystems Understand device drivers and kernel-space code and proficiency in a language without automatic memory management (e.g., C or C++), and in multiple scripting languages like bash and Python S
Head of Content Operations Compensation range is $110,000-$145,000 + bonus This role requires 3 days on site in the Boston, MA office. About the Opportunity IANS is the practitioner-sourced intelligence engine where data, peer experience, and expert insights converge for security teams. Powered by our proprietary data, we produce cybersecurity content, including reports, presentations, benchmarks, and briefs. We're looking for a Head of Content Operations to drive the strategy and execution to turn existing processes and quality standards for our editing and design function into repeatable, AI-accelerated workflows that increase efficiency and scales with IANS’ double-digit growth. The Head of Content Operations owns the standards, the workflows, and the team. Key Responsibilities Design & Editorial Standards Partner with the team to define what “great” looks like for design and editorial quality, and hold the team to it consistently across content types Establish and maintain design standards and AI templates for all IANS content, deliverables and market facing materials Establish and maintain editorial standards for IANS written content Establish the right metrics and SLAs for continuous team improvement and client service Workflow & Process Innovation Innovate design and editorial workflows for speed and broad-based standards adherence, using AI and automation tools Lead the team in building agentic design and editorial tools that appropriately divide uniquely human from truly AI-driven tasks Continuously push the envelope on how AI can accelerate and improve our outputs Use data and workflow monitoring to find the bottlenecks in current production and rebuild the process around AI and automation, not around headcount Refine and introduce new workflow and capacity utilization tooling Change Management Drive adopt
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 Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilitie
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Technical Services Engineer (DSE) for Portworx® by Everpure™, you will be the dedicated technical champion for our most strategic, high-value accounts. You will provide a "white-glove" support experience, moving beyond reactive troubleshooting to become a proactive extension of your customers' engineering teams. By mastering the Everpure™ Platform, you will ensure the stability of large-scale Kubernetes deployments across hybrid clouds, bridging the gap between customer success and internal R&D. Your mission is to foster deep technical trust, ensuring that our key partners maximize the reliability and performance of their mission-critical data services. WHAT YOU'LL DO Drive Strategic Customer Success: Serve as the primary technical point of contact for designated accounts, providing proactive monitoring and high-touch engagement to prevent issues before they impact production. Lead Complex Incident Resolution: Take end-to-end ownership of critical incidents in large-scale deployments, performing deep-dive analysis across the full software stack to ensure rapid restoration of services. Accelerate Engineering Innovation: Collaborate directly with escalation and development teams to reproduce complex bugs and analyze system logs, ensuring customer feedback directly influences product reliability and usability. Guide Deployment Lifecycle: Partner with customers through every phase—from pre-sales POCs a
Senior Platform Engineer AI Engineering | Forward Deployed Engineering Role Description Defense Unicorns is seeking a senior AI Agentic Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on designing, integrating, and operationalizing AI agents and agentic workflows within a secure enterprise environment. The engineer will work across large language models, agent frameworks, enterprise data, APIs, developer tooling, and platform services to turn AI capabilities into reliable, mission-relevant workflows. The ideal candidate is a hands-on engineer who understands both the capabilities and limitations of modern AI systems and can rapidly translate emerging technologies into working solutions. They should be comfortable experimenting with new models and agent frameworks, integrating agents with enterprise systems and tools, evaluating performance and reliability, and working alongside platform engineers and commercial technology partners. This is not a research-only role. The focus is on moving from AI concepts and prototypes to secure, useful, repeatable agentic capabilities that can operate in production environments. Responsibilities Design, build, and integrate AI agents and multi-agent workflows using modern LLM and agentic technologies. Develop agent capabilities that interact with enterprise applications, APIs, data sources, developer tools, and mission systems. Integrate models, agents, tools, and enterprise data into secure workflows that can be deployed in controlled and classified environments. Work with LLMs, RAG, embeddings, vector databases, tool/function calling, structured outputs, MCP, and related technologies. Develop mechanisms for agents to securely discover, access, reason over, and act upon approved enterprise data and services. Prototype and rapidly evaluate emerging models, agent frameworks, and AI capabilities to determine where they can create measurab
MongoDB's Application Modernization Platform (AMP) helps organizations modernize legacy applications and move their workloads and associated data from relational databases to MongoDB. Our customers need a dependable way to bring analysis, transformation, testing, and migration capabilities into their modernization workflows. The Platform team builds the shared foundations that make AMP a cohesive product. We connect specialized tools and services through consistent interfaces, integrate them with AI agents and development environments, and make them secure, observable, and straightforward to deploy and operate. Our work enables product teams to deliver new capabilities without repeatedly solving the same integration and infrastructure problems. We are looking for a Staff Engineer to set technical direction and lead delivery of this platform. You will combine deep systems engineering with product judgment, turning ambiguous requirements into reusable services and working integrations. You will define clear boundaries between platform, product teams, and external partners; make deliberate build-versus-integrate decisions; and contribute foundational code. Your impact will be measured by how reliably teams and customers can adopt and use AMP capabilities, and how much engineering effort the platform removes from their path. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. A strong candidate for this position will have: Technical Leadership: Over 8 years in software engineering and production operations, with a proven history of championing major technical strategies and deploying resilient, scalable architectures Platform Engineering: Deep practical expertise architecting common frameworks, distributed architectures, or core developer tooling leveraged across multiple organizations or customer environments API & System Design: Track record of establishing and refining service boundaries, interfaces, and data schemas with
Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission We're building Zocdoc's provider engagement platform — a system that understands where each practice is in their journey and delivers personalized experiences that deepen their relationship with our platform. Think: intelligent recommendations, engagement scoring, AI-assisted practice management, and a provider experience that makes Zocdoc essential to daily operations. As Staff Engineer, you'll own the technical architecture for core components of this platform. You'll design systems that integrate ML models built by our Data Science team, build the data pipelines that power personalization, and ensure our product surfaces can consume intelligence seamlessly. What You'll Do Own architecture for a major domain practice intelligence APIs, recommendation serving, orchestration layer, or AI-assisted management Design data pipelines that compute engagement signals, aggregate practice profiles, and feed downstream systems Integrate ML models built by Data Science into production model serving, feature pipelines, monitoring, and
Role Description Defense Unicorns is seeking a senior Data Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on making enterprise data usable, discoverable, governed, and accessible to AI models, agents, and mission applications. The engineer will work across data ingestion, transformation, storage, metadata, APIs, search, vector and graph technologies, and the interfaces between the data layer and AI workloads. The ideal candidate is a hands-on data engineer who can operate across the full data lifecycle and understands that data availability and integration are often the primary blockers to delivering AI capabilities. They should be comfortable entering an evolving architecture, learning unfamiliar systems quickly, working directly with commercial technology partners, and solving difficult problems involving data quality, lineage, access, performance, and security. This is not a traditional analytics or business intelligence role. The focus is on building the data foundations and repeatable patterns that allow AI and agentic capabilities to access trusted data and move from prototype to production in secure and classified environments. Responsibilities Design, build, and maintain reliable data pipelines that ingest, transform, validate, and deliver data for AI models, agents, and mission applications. Integrate structured and unstructured data sources into enterprise data services, including relational, document, vector, and graph-oriented technologies. Work closely with AI/agent engineers to make data discoverable and usable for RAG, semantic search, model context, and tool-enabled agent workflows. Develop repeatable data ingestion and transformation patterns using Python, SQL, APIs, event-driven architectures, and workflow/orchestration technologies. Establish data quality, validation, provenance, lineage, and metadata practices so downstream users and AI systems can t
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Lead Vanta’s creative team through the our brand refresh and shape how the refreshed brand comes to life across global campaigns, web, advertising, events, video, product launches, and everything in between. The Brand team sets the vision, strategy, voice, and creative expression that make Vanta distinctive and trusted. We connect a complex product and a rapidly changing market to clear, memorable experiences across every surface where customers encounter Vanta. As Creative Director, you’ll lead a nine-person creative team and own the final creative expression of the Vanta brand. You’ll partner closely with the Director of Brand Strategy and Voice, who owns brand strategy and copy, while you set the bar for how visual and verbal expression come together in systems and applications. What you’ll do as a Creative Director at Vanta: Lead the completion and global application of Vanta’s brand refresh across campaigns, web, advertising, events, decks, video, product launches, and other brand surfaces. Set and maintain a high creative bar across visual systems and applications, making the final call on how copy and design come together in the team’s recommendations. Lead, coach, and develop a nine-person creative team spanning campaigns, web, production, motion, and brand design. Build a reliable creative operating model, including intake, briefing, prioritization, capacity planning, project communication, and quality review. Partner with Brand Strategy and Voice, Comms, Growth, Product Marketing, Web, Events, Product Design, and other stakeholders to turn complex narratives into compelling creative work. Guide the team through focuse
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Head of IT Platform & Infrastructure leads one of the core teams of our Global IT organization and reports to the Head of IT Infrastructure. The team owns the platforms almost every Celonaut works in every day — Google Workspace, Atlassian, Slack, and a long tail of business-critical SaaS applications — as well as a deliberately lean, fully cloud-based infrastructure with no legacy data center to maintain. You lead a distributed team of platform engineers across Europe and India and work side by side with our IT Identity & Endpoint and IT 1st Level Support teams and in very close alignment with InfoSec. Security and identity are shared design principles here, not downstream review steps. The Role: This role owns the strategy, operation, and evolution of Celonis' internal platform landscape. You set the direction for how our collaboration and productivity platforms are run, governed, and simplified, and you make sure they stay reliable, secure, and easy to use for a fast-moving global company. You take full ownership of our Atlassian Cloud estate and run it to the same standard as any other production platform. We are explicitly looking for a leader with a strong AI skillset and mindset: someone who treats AI as
The MongoDB Customer Observability Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The team is responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy globally distributed MongoDB clusters in just minutes. We're seeking an SE3 to join our team to tackle exciting challenges within the Observability space. You'll contribute to developing tools and platforms that help our users understand the health and performance of their MongoDB deployments. This includes collecting metrics, monitoring slow queries, and offering actionable insights such as index and schema suggestions that improve the speed, efficiency, and overall reliability of their databases. This role provides a unique opportunity to drive engineering excellence across both dimensions of observability, leveraging technologies being developed within the Customer Observability group and contributing directly to the success of our customers and our product teams. If you're passionate about large-scale systems, digging deep into telemetry data, and building tools that make a real impact both internally and externally, we’d love to have you on board! We are looking to speak to candidates who are based in Dublin for our hybrid working model. We're looking for someone who Enjoys collaboration and being part of a team Is approachable, curious, and intellectually honest Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend Has written backend systems in a compiled language (Java, C#, Go, etc.) Has experience with the design and architecture of a modern, scalable web application Is familiar with debugging and troubleshooting production issues Strong understanding of algorithms, data structures and their time and space complexity Nice to Haves Experience developing and writing code observability tools Previous work in T
WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box is building the industry's most trusted, secure content and AI platform. Our Production Security Tools team is seeking a Security Tooling Engineer II with curiosity and a security mindset to help build and operate infrastructure security across our tooling stack, including monitoring, vulnerability scanning, data loss prevention (DLP), and hardening checks. In this role, you will implement and operate security tooling and controls under the guidance of senior engineers; collaborate with engineering, privacy, legal, and other security teams to reduce data exposure and configuration risk; and help keep Box's infrastructure secure-by-design and secure-by-default while enabling rapid, responsible product development and AI adoption. WHAT Y
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. We are looking for a strong Senior Software Engineer in Test (SET) to build scalable test automation, developer productivity tools, and test infrastructure. The role is UI automation heavy , with strong focus on Playwright/Cypress, TypeScript/JavaScript , API and performance testing, CI/CD, and AI-assisted engineering. Key Responsibilities Design and maintain scalable UI automation frameworks using Playwright and/or Cypress with TypeScript/JavaScript . Build comprehensive UI, API, integration, and end-to-end automation for enterprise-scale applications. Develop API automation using REST Assured and REST APIs. Design and execute performance/load testing using JMeter and analyse performance bottlenecks. Build and integrate automated tests into CircleCI, Jenkins, or GitHub Actions pipelines. Develop reusable testing libraries, utilities, and developer productivity tools . Leverage GitHub Copilot, Claude Code, and other GenAI tools to accelerate automation development, debugging, test generation, refactoring, and improve test coverage. Identify, troubleshoot, and eliminate flaky tests , automation failures, and test infrastructure issues. Work with DevOps/SRE on Docker, Kubernetes, cloud environments, and test orchestration . Participate in on-call rotation and provide support for critical automation and production incidents . Perform RCA for production and automation issues and drive preventive actions. Collaborate closely with developers, architects, product
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