Enterprise Transformation Jobs

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 We are looking for an experienced and driven GRC Controls Automation Engineer who is looking to put their demonstrated awareness of regulatory standards to help bridge compliance requirements, technical infrastructure and engineering workflows. You will be focused on modernizing, designing, building and scaling frameworks that embed compliance directly into the software development (SDLC) process. As our GRC Controls Automation Engineer, you will play a key role building a scalable, efficient program and process using your technical leadership focusing on automation within Box. You will work with all functions of this fast-paced, rapidly changing business, and directly with key stakeholders to drive continuous improvement, com

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Business Value Consulting team focuses on driving long-term growth and value creation for the largest and most strategic Stripe users. Business Value Consultants play a critical role in translating the technical capabilities of Stripe products into strategic value for customers. We help drive meaningful business outcomes and accelerate decision-making through a consultative approach that aims to build investment confidence and improve CxO conversations. What you’ll do Our Business Value Consulting team partners closely with our Go-to-market teams and Enterprise users to articulate the strategic value Stripe will provide for users’ businesses. Value Consultants develop methodologies to measure the financial, strategic, and operational benefits Stripe provides, and use those to develop value propositions, business cases, and ROI justifications for our users. Responsibilities Build compelling business case presentations and ROI (Return on Investment) analyses aimed at accelerating, justifying, or expanding sales opportunities Create ROI tools for sales and customers for joint business casing Craft high-impact, executive-level narrative and presentations for CxOs while working cross-functionally with our Sales and Presales teams Conduct internal and external research around customers’ businesses, market, industry, and functional trends, and business value analysis Build strong relationships with regional sales leaders to be a key driver on s

About the Team OpenAI’s Application Engineering team builds the internal products and platforms that help OpenAI operate securely and at scale. We engineer, own, and evolve OpenAI’s core productivity ecosystem, creating secure applications, integrations, automation, and reusable tooling where off-the-shelf software is not enough. Our work spans employee-facing experiences and the services, APIs, control planes, and governance that make them reliable, permission-aware, and scalable. We also act as a customer zero for OpenAI’s technology, building the enterprise foundations that let employees and agents safely access the context, tools, and actions they need. We partner closely with IT, Security, product teams, and platform providers to turn company-wide problems into durable systems, learn from real internal workflows, and help shape the products we deploy. We create paved paths that let teams move quickly without compromising security or operational quality. About the Role As a Staff Software Engineer on Agent Productivity, you will shape the foundation that enables teams to build agents with secure access to the context and capabilities they need. Slack will be the first and deepest implementation surface—and where you spend most of your time—owning its application architecture, integrations, APIs, governance, and administration automation while building patterns that extend to internal systems, identity platforms, and other enterprise applications. This is a hands-on engineering role with broad organizational impact as agents support more employee workflows. You will define platform architecture, build reusable foundations, and establish secure patterns for identity, permissions, connectivity, and operations that make agents easier to develop, deploy, and manage. In this role, you will: Own the technical strategy and architecture that enable teams to build, connect, and deploy agents quickly and safely, using Slack as the primary implementation surface. Design and

The Team + The Role Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo. The Team + The Role Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo. As a Senior Customer Engineer you will own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You will lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact will extend beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team. This role is based in our London office. What this looks like day-to-day New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and growth across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops. Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion,

About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation Design and build optimized indexing pipelines for structured and unstructured data Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration Improve retrieval quality through evaluation and observability frameworks Design APIs for internal and external user and agentic consumers Optimize latency, throughput and cost across large-scale inference and retrieval workloads Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise

About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation Design and build optimized indexing pipelines for structured and unstructured data Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration Improve retrieval quality through evaluation and observability frameworks Design APIs for internal and external user and agentic consumers Optimize latency, throughput and cost across large-scale inference and retrieval workloads Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior Network Engineer serves as a technical leader in the design, implementation, and optimization of our enterprise and cloud network infrastructure. This role partners closely with Technology leadership, engineers, and end users to deliver secure, scalable, and high-performing network solutions with a strong focus on AWS and Google Cloud Platform (GCP). Responsibilities: Define cloud network requirements, establish architecture, and create detailed designs and standards that meet business goals. Manage and support LAN/WAN implementations and configurations, including routing, switching, firewalls, wireless, voice, and video solutions. Provide leadership in managing network infrastructure and related support organizations, including MSPs, cloud providers, and communications vendors. Perform root-cause analysis and problem resolution; provide recommendations, build consensus, and execute solutions. Recommend appropriate courses of action to network infrastructure engineers, NOC, MSPs, and IT management on technical and operational issues Essential skills and/or Certifications: Bachelor’s Degree in Computer Science, Information Systems, or other related field Minimum 8 years of experience in network engineering Expert knowledge of enterprise-level cloud architecture with a focus on network design and implementation (AWS and GCP, with a focus on GCP). Networking certifi

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. About the role Almost every company can now produce training video at scale. Almost none of them can tell you whether any of it made someone better at their job. We're building the product that closes that gap: an agentic, real-time experience where people practice live, dynamic scenarios, and where organisations finally get signal on genuine readiness instead of a simple metric tied to course completion. This is a 0-to-1 bet on what comes after content, which is practice, and proof. You'll own a domain within it from strategy to ship. Why now: Real-time, agentic AI has only just become good enough to hold a convincing live scenario. The window to define this category is open now, and we intend to own it. The problem you're solving Today, the most you can do to assess whether someone has genuinely learned something is watch them complete a module or pass a quiz. The behaviours that matter in real roles, in real moments, are rarely tested reliably. We have the underlying technology to change that. What we need is a PM who can turn that into a product that an enterprise will use to prepare their people, and that a end user actually wants to engage with. What you'll be doing Owning the multi-quarter strategy for a

FEQ425R228 As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. This is a Hybrid role, based in Mumbai. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and o

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Senior Firmware and Product Test Engineer in the Solid State Drive (SSD) group at Micron Technology, you will help ensure our SSD products have world-class performance and reliability. This outstanding opportunity allows you to collaborate with skilled experts to build flawless SSD firmware for enterprise and automotive markets. Your ambition and proven expertise will help us develop innovative solutions and advance technology. Responsibilities Build comprehensive firmware verification plans for various firmware features. Develop white/ grey-box, known, and closed system testing methods to verify and validate firmware features. Analyze failures from weekly regressions and perform root-cause analysis, requiring deep SSD domain expertise. Manage test development, test deployment, test automation, and reporting activities. Communicate challenges, solutions, and mitigation plans to cross-functional teams and management with clear and effective communication of both technical and non-technical topics. Participate in code reviews and guide the team to ensure comprehensive coverage and accurate architectural build. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exerc

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Senior Firmware and Product Test Engineer in the Solid State Drive (SSD) group at Micron Technology, you will help ensure our SSD products have world-class performance and reliability. This outstanding opportunity allows you to collaborate with skilled experts to build flawless SSD firmware for enterprise and automotive markets. Your ambition and proven expertise will help us develop innovative solutions and advance technology. Responsibilities Build comprehensive firmware verification plans for various firmware features. Develop white/ grey-box, known, and closed system testing methods to verify and validate firmware features. Analyze failures from weekly regressions and perform root-cause analysis, requiring deep SSD domain expertise. Manage test development, test deployment, test automation, and reporting activities. Communicate challenges, solutions, and mitigation plans to cross-functional teams and management with clear and effective communication of both technical and non-technical topics. Participate in code reviews and guide the team to ensure comprehensive coverage and accurate architectural build. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exerc

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re looking for a Staff Engineer who will be a key member of a new Systems team at Syllo that will own Platforms, Frameworks, Tools, Patterns, and Architecture. This person will not only contribute directly to technical design and implementation but also foster a collaborative, high-performing environment where engineers can grow, learn, and thrive. Responsibilities Design, implement, and manage scalable cloud-based infrastructure using Kubernetes, Pub/Sub, and other relevant technologies. Collaborate with our AI team to optimize data pipelines and integrate AI technologies to remove performance bottlenecks. Refactor existing systems to enhance scalability, including transforming stateful components into stateless ones, and applying extensive autoscaling and auto-repair mechanisms. Lead efforts on data ingestion and export processes, improving efficiency and reducing dependencies on legacy technologies. Drive platform reliability initiatives, including enhancing alerting, health checking, and incident management. Champion continuous improvement efforts, including cost control measures and technological upgrades. Oversee the development of internal tools that streamline workflows and reduce duplication of effort in development environments. Ensure the platform meets rigorous testing and security stand

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. At Okta, we are on a mission to free everyone to safely use any technology. As the Director of Product Management – Platform , you will own and drive the multi-year product strategy for Okta’s foundational platform suite. Reporting directly to the Chief Product Officer, this role has complete product ownership over the core infrastructure powering Okta’s enterprise identity engine. You will manage and mentor a team of Product Managers , translating Okta’s overarching company vision into an execution-focused roadmap. Your platform portfolio spans identity automation ( Okta Workflows ), core cloud identity directory ( Universal Directory ), multi-org governance ( Okta Aerial ), business continuity ( Backup & Recovery ), administrative design standards ( UI Platform ), monetization primitives ( Licensing & Metering ), and end-to-end Multi-Product Experiences (including AI assistants, unified policy layer, universal search, admin dashboard, and platform RBAC). Key Responsibilities 1. Strategic Vision & Core Product Ownership Translate Okta's overarching enterprise vision into a comprehensive, multi-year product strategy and roadmap for the entire Platform portfolio. Leverage a deep understanding of competitive market dynamics, security architecture trends, and SaaS infrastructure evolutions to anticipate market shifts and maintain Okta's competitive advantage. Partner closely with the CPO, CTO, architectural leadership, and cross-functional execs to

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. We're hiring Field Engineers to partner with prospective and strategic enterprise customers across Life Sciences. You'll be the technical face of SpaceXAI for the scientific organizations shortening the path from lab to market: helping programmers, researchers, scientists, and commercial teams evaluate Cursor, running proofs of concept, and making sure they see the full value of agentic coding in their real workflows. You'll work hand-in-hand with Sales, Product, and Engineering as a deal partner, not a demo resource. You'll scope solutions, demonstrate capabilities, and act as a trusted advisor across the stakeholders that matter in Life Sciences: engineering leaders, architects, developers, scientific computing, R&D, and commercial IT. This is a highly customer-facing role where deep technical fluency, commercial instinct, and clear communication drive adoption and influence product direction. What you'll do Partner with AEs to own technical discovery, demos, POCs, and expansion with technical validation Build trusted relationships across engineering, scientific computing, R&D, and commercial IT Go deep in research-heavy and regulated environments: developer workflows,

We are looking for a Director of Engineering to lead our AI Platform organization. This group builds the foundational systems powering every AI experience across Asana. In this role, you will lead four key teams through their engineering managers: Context (search, retrieval, and knowledge extraction across the Asana Work Graph), LLM Foundations (model serving, inference infrastructure, provider strategy, and evaluation systems), and AI Efficiency (our center of excellence for cost, quality, and performance standards across all AI workloads). Collaborating with engineering managers and senior technical leaders, you will drive the end-to-end strategy, execution, and architecture that define how humans and AI work together at Asana to build trusted, reliable, high-value product workflows for enterprise customers worldwide. Your mission is to make Asana’s AI platform the most reliable, economical, and performant foundation in the industry for agentic enterprise software, giving Asana the leverage to ship AI products faster than anyone else. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive Strategy & Execution Across the AI Teammates Pillar: Lead the multi-year vision and technical strategy for Asana’s AI platform, covering retrieval and agent context, model serving and inference, model portfolio strategy, and evaluation systems. Optimize AI Infrastructure Costs: Own cost-per-execution as a primary engineering metric, managing model selection, routing, open-weight versus frontier trade-offs, inference optimization, caching, and prompt efficiency to protect product margins at scale.