Senior Engineering Director Jobs

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team The Network Security team is responsible for securing GoDaddy's global hybrid infrastructure across data centres, cloud, edge, and remote-access environments. We partner across Security, Infrastructure, Cloud, and Engineering teams to build scalable, resilient, and secure solutions that support the business. As a Principal Network Security Engineer, you'll act as a senior technical leader, helping define network security strategy, influence architecture across teams, and drive security outcomes at enterprise scale through technical expertise, systems thinking, and cross-functional leadership. What you'll get to do... Define and drive network security architecture across hybrid environments, including data centres, cloud, edge, and remote-access technologies Design trust boundaries, segmentation strategies, secure connectivity patterns, and network controls that reduce risk and improve security posture Lead complex technical initiatives, migrations, and architectural decisions while balancing security, reliability, performance, and operational requirements Establish scalable approaches for policy governance, automation, monitoring, telemetry, and security control validation Partner across engineering organizations to drive large-scale initiatives, mentor engineers, and influence technical direction through architecture reviews and technical leadership Your experience should include... 10+ years of experience in Network Security Engineering, Network Architecture, or Security Engineering, including ownership of enterprise-scale secu

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About The Role: Vercel is hiring a Strategic Product Partnerships Lead to develop first-of-a-kind partnerships that inflect the company's growth. Done well, these partnerships open distribution for our products, create new pipeline for our field teams, and/or add new capabilities to our platform. This is a highly cross-functional and technical role: you will spend as much time with product and engineering leaders as with commercial ones, both with partners and with Vercelians. You will report to the Head of Strategic Partnerships and own a named set of partners that includes hyperscalers, frontier AI labs, silicon vendors, and commerce and enterprise software platforms. The work takes a different shape with each one, but the common thread is that these partnerships live close to the product: embedding Vercel inside a partner's platform, co-building new products, taking a joint offering to enterprises that neither company could sell alone. Structuring a deal means both understanding the technical components well enough to know what a partnership makes possible and understanding what the business impact could be if done successfully. We expect candidates to demonstrate significant experience delivering complex deal work, creating and driving strategy, working with cross-functional teams to launch new initiatives, and initiating first-of-a-kind partnerships. We are looking for someone with a strong sense of ownership who performs at a senior level and does their best work with limited direction. This is a hybrid position, requiring 3 days per week in

AI frameworks like LangChain, LlamaIndex, and n8n are quickly becoming the default way developers build with AI — and MongoDB wants to be the data platform that shows up everywhere they build. As part of the AI Builders Experience (ABX) org, we're standing up a brand new engineering team in Gurugram to make that happen, and we're looking for Software Engineers to be among its founding members. The team owns the connective layer between MongoDB and third-party AI frameworks, platforms, and tools — the integrations that let developers use MongoDB effectively with the AI stack they've already chosen. That means shipping into some of the fastest-moving open-source ecosystems in tech, working mostly in Python and TypeScript, and partnering with the Database Experience (DBX) org when an integration needs new driver, platform, or product capability underneath it. This is a strong role for an engineer who wants to grow into the AI space with real ownership. You'll own well-scoped projects from design through release, work with fast-moving and sometimes unproven technologies, and get a clear view of how the ecosystem is evolving. Priorities shift as frameworks change and customer demand moves, so we're looking for engineers who are adaptable, ask good questions, and take pride in shipping. Much of your work will happen in public: sending pull requests to upstream repositories, working through external maintainer review cycles, and participating in developer communities as MongoDB. You'll work closest with the engineers sitting next to you, pairing on hard problems, reviewing each other's code, and dividing up a broad portfolio, with senior engineers and your manager close at hand as you take on larger pieces of it. MongoDB engineering teams pride themselves on building high-quality software and living our cultural values every day. We value intellectual curiosity, intellectual honesty, customer empathy, and building together in an environment that prioritizes collaboration o

About the role As a Technical Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities Triage and respond to inbound support tickets across self-serve and enterprise customers using a support/CRM platform; identify patterns in ticket clusters (e.g., a wave of the same error code), surface them to engineering with context and affected case lists, and follow through to resolution. Draft clear, accurate status updates and maintenance notifications for customers during planned maintenance windows or incidents; communicate expected impact without exposing internal platform details. Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction. Answer customer questions about the platform's API, model/fine-tuning workflows, model availability, and deployment/endpoint configuration; reproduce reported errors to confirm expected vs. broken behavior and provide actionable next steps. Provision and configure SSO connections for enterprise customers (Google Workspace, Okta, Azure AD, etc.); guide customers through IdP-side setup steps; diagnose login failures by cross-referencing the platform's identity provider configuration against the customer's; escalate confirmed platform-side gaps. Triage customer billing questions using bill

About the Team The Emerging Products team is a lean, high-output product lab group that builds products at the forefront of model capabilities. We collaborate across all teams within the company, from research and infrastructure to consumer products. The team is responsible for identifying new product opportunities, building them quickly, dogfooding them internally, and then launching the successful products to users. We use data, user research, and analytics to inform our ideas, and make decisions on what experiments are worth iterating, stopping, or scaling. About the Role We’re looking for a senior, product-minded software engineer to own ambiguous 0-to-1 work from idea through prototype, validation, and handoff. This is a full-stack role with a strong frontend and product emphasis: you will build the interfaces and supporting backend systems needed to test new experiences quickly, while making sound architectural choices that enable successful concepts to scale. This role is based in our Mission Bay office in San Francisco. In this role, you will: Build and ship high-quality, product experiments across the full stack. Turn ambiguous user needs and emerging technical capabilities into testable product concepts, using research and metrics to guide iteration. Own technical direction for 0-to-1 projects, balancing speed, reliability, and a clear path from prototype to scalable product. Partner closely with design, product, research, and engineering teams to dogfood, evaluate, launch, and transition successful experiments. You might thrive in this role if you: Have a track record of building and shipping end-to-end products in fast-moving, startup, founder-led, growth, or other high-ownership environments. Bring strong frontend engineering skills and enough backend and systems depth to make sound full-stack architectural decisions. Pair product intuition with evidence, using user research and product data to identify opportunities and make pragmatic tradeoffs. Operat

About Us At Sureify we’re helping a large and critical industry -- life insurance -- modernize and innovate. We have built a platform, enabling a core suite of digital solutions for some of the world’s leading insurance companies. We’re passionate about enhancing customer experiences and driving growth through cutting-edge technology. Position Summary We are seeking a client-facing Technical Solution Lead to join our Professional Services organization. This role serves as the hands-on technical solution owner for enterprise SaaS implementations, partnering closely with clients to translate business objectives into implementation-ready solutions. The Technical Solution Lead works alongside a Project Delivery Lead and is supported by Senior Architects, Business Analysts, and Technical Business Analysts. While Senior Architects provide architectural governance and make complex design decisions, the Technical Solution Lead owns the day-to-day technical solutioning effort throughout the implementation lifecycle. This role is ideal for someone with a strong technical background and client-facing skills who aspires to become a Solution Architect. What You'll Do Client Solution Leadership Serve as the day-to-day technical leader for a client implementation. You will need to be comfortable working with developers to build solutions in TypeScript. The platform you will build on also requires deep SQL knowledge.. This role is dedicated to one client at a time, allowing you to focus 100%. Facilitate technical discovery and solution design working sessions with client stakeholders. Partner with the client's architects, business analysts, and developers to define implementation approaches. You'll be able to collaborate with a Sureify Senior Architect as needed. Review and approve agile stories produced by Business Analysts and Technical Business Analysts to ensure business requirements are accurately translated for the engineering team. Solution Design & Analysis

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We're hiring a Product Partnerships Manager to own Replit's most important strategic partnerships end-to-end: from identifying the opportunity to shipping the outcome and measuring the impact. This is a product-focused role where you will work with our consumer technology partners, such as Stripe, Shopify, Google, and the broader connector ecosystem. You'll work at the intersection of product strategy, ecosystem thinking, and deal execution. You'll need to be a serious Replit power user. You'll speak credibly with engineers. You'll negotiate with senior partner stakeholders. And you'll be the person accountable for turning ambiguous ecosystem opportunities into shipped product and business outcomes. What You'll Do Develop a clear point of view on Replit's partner landscape and build a prioritized pipeline of high-leverage opportunities across consumer tooling, AI tooling, cloud and infrastructure, and payments technology partners. Lead partner conversations from early exploration through joint product thesis, business case, commercial terms, launch plan, and post-launch iteration. Partner with Product, Engineering, Partner Engineering, Legal, Finance, Marketing, and Sales to turn agreements into shipped outcomes. Work directly with Partner Engineers to scope integrations, demos, prototypes, reference apps, and partner enablement assets. Define success metrics before every launch activation: retained usage, apps created, deployments, revenue, partner-sourced users, and use them to decide when to scale, iterate, or sunset a partnership. Build lightweight operating systems: partner scorecards, launch checklists, partner roadmap tracking, and repeatable frameworks for evaluating new opportunities. Represent

About the Role As a Field CTO (Strategic Pursuits) , you will serve as a strategic bridge between our customers, go-to-market (GTM) teams, and product organization. You will partner closely with Sales, Technical Success, and Product to shape high-impact deals, guide customer architecture decisions, and influence our product roadmap based on real-world adoption and feedback. This is a highly cross-functional, externally facing leadership role for someone who combines deep technical expertise with strong business acumen and customer empathy. In this role, you will: Customer & Deal Strategy Partner with Sales, Product and Technical Success teams to support complex, high-value deals as a technical and strategic advisor. Translate customer business needs into scalable technical solutions and architectures. Engage with senior customer stakeholders (CTO/CIO/VP-level) to drive alignment on vision, roadmap, and adoption. Lead technical strategy discussions during key deal stages, including discovery, solution design, and executive presentations. Architecture & Implementation Guidance Guide customers on best practices for deploying and scaling AI-driven solutions in production. Provide architectural oversight across use cases such as LLM applications, integrations, data pipelines, and security. Act as a trusted advisor to ensure long-term success, not just short-term wins. Product & Feedback Loop Bring structured customer insights back to Product and Engineering teams to inform roadmap and prioritization. Identify gaps, opportunities, and emerging patterns from customer deployments. Influence product direction based on real-world usage, scalability needs, and enterprise requirements. GTM Strategy & Thought Leadership Help shape GTM strategies by identifying repeatable patterns across industries and customer segments. Develop scalable frameworks, reference architectures, and playbooks for broader field teams. Represent the company externally through customer en

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role As a Manager of Forward Deployed Engineering on Notion’s Services team, you will lead a team responsible for the hands-on technical delivery of our most complex customer engagements. Your team will design, build, and deploy production-ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You will combine people leadership, technical judgment, and customer-facing delivery. You will coach Forward Deployed Engineers through discovery, architecture, implementation, and launch while remaining close enough to the work to guide difficult technical decisions, unblock delivery, and build trust with senior customer stakeholders. The team’s work includes custom code, production-grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance. You will help establish how Services delivers complex technical implementations across EMEA. This includes building a high-performing team, improving delivery standard

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 Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand experience to continuously improve it. Providing great support to users of all sizes is culturally important to everyone at Stripe. We partner closely with Stripe’s design, product, and operational teams across a wide surface area: the external-facing support interfaces (https://support.stripe.com/), self-serve content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and to help our operations teams be more productive. What you’ll do As a Staff Engineer on an established team, you will bring technical leadership and set the technical strategy and architecture for Stripe’s support products. You will mentor and grow senior engineers, build a culture of technical excellence, and serve as a role model for our high engineering standards. As a technical leader, you will drive fast-paced, sustained product deliv

Please note we are looking to speak to individuals already based in the Doha as a first priority. Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Data Engineer (Snowflake) Location: Doha | Practice Area: Data & Analytics | Type: Permanent Shape the future of data platforms by delivering modern, cloud-native engineering solutions that enable leading financial institutions to unlock the full value of their data. The Role Capco is a global technology and business consultancy, focused on the financial services and energy sectors. We combine innovative thinking with deep industry expertise to help our clients solve complex business and technology challenges. We are looking for a Senior Consultant Data Engineer with strong Snowflake expertise to join our growing Data & Analytics practice in Doha. You will work closely with clients to design, build and optimise modern cloud-based data platforms, enabling advanced analytics, regulatory reporting and data-driven decision-making. As a Senior Consultant, you will combine technical delivery with client engagement, helping organisations modernise their data landscape while mentoring junior colleagues and contributing to Capco's collaborative consulting culture. What You'll Do Design, develop and optimise scalable data pipelines and cloud-native data platforms using Snowflake and mod

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join Coinbase's Machine Learning team and work alongside senior engineers building ML models and pipelines that make our platform more secure, personalize user experiences, and unlock new use cases for crypto. As an MLE intern, you'll take ownership of a research-to-production project, applying cutting-edge ML techniques to real-world problems at blockchain scale. What you'll do: Develop, deploy, and operate machine learning models and pipelines at production scale Drive an end-to-end research project applying modern ML techniques to solve a defined business problem Partner with senior engineers and product teams to identify new ML applications for blockchain and crypto use cases Present findings and recommendations to cross-functional stakeholders at the conclusion of your internship Required Skills and Experience: Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related field Demonstrated proficiency building and training models using ML frameworks such as PyTorch or TensorFlow Experience applying ML techniques including supervised learning, unsupervised learning, or reinforcement learning to structured or unstructured datasets Familiarity with software engineering fundamentals including version control, testing, and writing production-qua

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join the Analytics Engineering team within Platform, which builds and maintains the trusted data infrastructure that powers decision-making across Coinbase. As an Analytics Engineer Intern, you'll model complex data, build scalable pipelines, and deliver insights that help teams across the company unlock the full potential of our data. You will gain hands-on experience building production data systems at scale, mentorship from senior analytics engineers, and exposure to how data powers decision-making across a publicly traded crypto-native company. What you'll do: Build and maintain dimensional data models that transform raw data into clean, reliable datasets used by analysts, data scientists, and product teams across the organization. Develop data pipelines using SQL, ensuring data quality, freshness, and documentation meet production standards. Partner with cross-functional stakeholders to understand their data needs and deliver well-structured datasets or dashboards that enable self-serve analytics. Leverage generative AI tools to streamline data development, modeling, and documentation workflows. Investigate and resolve data quality issues, implementing tests and monitors that catch problems before they reach downstream consumers. Required Skills and Experience: Currently pursuing a degree in computer scienc

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As a Data Engineer Intern within the Platform product group, you'll partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across Coinbase. You'll work alongside senior engineers and cross-functional partners in product and engineering to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases. What you'll do: Build and maintain data pipelines that ensure data integrity and accessibility for analytics and machine learning workloads Support the development of scalable data infrastructure using Python and cloud-based technologies Integrate and manage data from multiple sources, including internal systems and external APIs Contribute to analytical deep dives with senior team members, translating findings into clear documentation and recommendations Learn and apply data engineering best practices including data governance, security, and performance optimization Required Skills and Experience: Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent experience with demonstrated programming proficiency in Python, including data structures and algorithms Hands-on experience writing SQL for data analysis and working with relational database concepts Familiarity with cloud platforms (AWS, GCP, o