Senior Engineering Director Jobs

About the Team: OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality. About the Role: We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments. Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations. Candidates must be able to sit onsite in Abilene, Texas 5 days per week Key Responsibilities Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria. Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time. Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations. Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams. Develop repeatable engineering standards, as-built do

About the Role As a Customer 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 Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge Kubernetes GPU clusters; ensure swift and effective solutions every time. Become a product expert in our GPU Cluster service, serving as the last line of technical defense before issues are escalated to Engineering and Product teams. 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. Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support) Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers. Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers. Requirements 3+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI or supporting a mission-critical API in SaaS Strong technical background, with knowledge of AI, ML, GPU

P-1448 About the Role Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience. The Impact You Will Have Manage large strategic accounts to provide a high-touch support experience. Deep-dive into complex Apache Spark and Data Engineering issues, analyzing Spark UI, thread dumps, and driver/executor logs to resolve critical performance bottlenecks. Advise strategic customers on Data Engineering best practices, including optimizing ETL/ELT pipelines, data modeling, and leveraging the Databricks Lakehouse architecture (Delta Lake/Iceberg). Project manage all open support cases to expedite support ticket closure. Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution. Directly engage on business-impacting situations and ensure recovery of functionality for the customer. Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays, and mitigate issues. Effectively use sound business judgment, risk avoidance, and SME resources to coordinate team efforts to solve problems. Carry out regular reviews of customer cases to identify trends and proactive optimization opportunities. Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders. Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks S

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 Specialist Solutions Architects (SSA) are domain experts aligned to specific Stripe solutions and customer buying centers. We have in-depth knowledge of specific solution offerings and a deep understanding of customer challenges. We align with specialist product sellers on deals, advise the broader pre-sales team on complex opportunities, support pipeline development and revenue attainment, serve as an advisor on go-to-market sales plays, and provide critical insights to our product and engineering teams. What You'll Do You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets, while also educating the product and engineering teams on market trends and strongly influencing the product roadmap. You will develop deep relationships with senior customer business leaders and grow Stripe's solution offerings with new and existing customers. As a subject matter expert, you will scale the broader organization by creating reusable assets and coaching others on complex, high-value opportunities. As a Specialist Solutions Architect for Crypto and Stablecoins, you will lead in-depth product discussions with Stripe's top users and prospects and execute against our go-to-market strategy for Stripe's crypto and stablecoin products, including Bridge and Privy. You will serve as a trusted advisor for business and technical stakeholders—CTOs, CFOs, Heads of Digital Assets, and Treasury teams—helping them understand how

Get to Know the Sales Team Our sales team’s success is MongoDB’s success. We help customers solve challenges and build their next big thing. And our mission is to bring our developer data platform to new markets and new businesses around the globe. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” The Opportunity As a Senior Enterprise Account Executive, Growth you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We're looking to speak with candidates based in Los Angeles for our hybrid working model. What You’ll Be Doing Prospect into CTOs, Engineering/IT leaders, and technical end users Grow a current base of MongoDB customers by landing new workloads through outbound prospecting Manage the full sales cycle for all MongoDB Products & Services Develop and execute a strategic territory plan to achieve revenue targets Collaborate with the sales ecosystem to drive sales initiatives and partnerships Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach What You’ll Bring To The Role 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts. Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Co-selling with cloud service providers (AWS, GCP an

P - 1381 At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Team The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams. As a Staff Backline Engineer, you will be a technical expert and escalation point for some of the most complex ML/AI issues. You will work across Support, Engineering, Product, and customers to troubleshoot difficult problems, reproduce issues, identify root causes, and drive them to resolution. What You'll Do Serve as a senior escalation point for complex ML/AI issues involving model training, inference, Model Serving, MLflow, Feature Engineering, with knowledge of Spark, Delta Lake, and distributed workloads. Perform deep technical investigations using logs, traces, metrics, profiling, configu

JOB DESCRIPTION Point72 Asset Management is seeking a Quantitative Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO. PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams. The ideal candidate is a highly analytical and creative problem-solver who can conduct independent research, work effectively as part of a team, and effectively summarize and communicate findings. RESPONSIBILITES Conduct bottoms-up analysis on the firm’s portfolios to identify strengths and weaknesses in idea generation, trading, and construction Form top-down views on which strategies offer the best risk/reward for the firm Invent new analytics to quantify skill and frameworks to support trade-offs between different sources of skill and risk Quantify market drivers to support pre-trade risk taking and decision making Communicate key findings to the team, PMs, and Co-CIOs Learn to develop in and contribute back to shared code base, reports, and research tools DESIRABLE CANDIDATES 2 or more years of experience in a quantitative research, portfolio management, or risk management role dealing with equities or equities investments Undergraduate, MS or Ph.D. in Finance, Computer Science, Mathematics, Engineering, or Physics, or other quantitative discipline Experience with statistical models and essential methods of quantitative finance Some level of proficiency in quantitative programming (Python preferred) Highly analytical Good interpersonal skills Detail-oriented Self-starter Ability to work cooperatively in a team-oriented, fast-paced environment A commitment to the highest ethical standards and to act with professionalism and integrity Point72 is a leading global

AI at Zapier At Zapier , we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently . Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process , including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Job posted: 8/28/2026 Location: Remote Canada, Central & South America- Pacific Time (PST) working hours required Hi there! Zapier’s mission is to make automation work for everyone, helping people eliminate repetitive work and focus on what matters most. We’re looking for a Senior Technical Account Manager to support our Enterprise customers on the post-sale team. You’ll serve as a named senior technical partner to builders, technical leaders, and executives, helping them turn important business problems into reliable, well-designed automations. You’ll join a growing team of four Sr TAMs reporting to a Senior Manager. Customer portfolios vary by program, account size, technical complexity, and level of engagement. Customers typically receive an average allocation of approximately six dedicated TAM hours, which you’ll use for architecture, hands-on building, technical enablement, and proactive account planning. You’ll design architectures, build and improve workflows, solve complex technical problems, and strengthen the resilience of customers’ automation systems. In partnership with Customer Success, you’ll connect this work to adoption, customer value, retention, and growth. You’ll also represent the customer internally, giving Product and Engineering clear insight into product gaps, critical bugs, and opportunities to improve the Enterprise experience. Our Commitment to Applicants Culture and Values at Zapier Zapier Guide to Remote Work Zapier Code of Conduct Diversity and Inclusivity at Zapier Things You’ll Do Design, build, an

GAQ327R175 About the Role This role is a part of the Finance Organisation. As Finance Data Lead on the Finance Data and AI team, you will be the technical authority behind the data pipelines, AI systems, and internal applications that power Databricks' Finance and Accounting organisation. You will report to the Senior Manager, Finance Data and AI and serve as the individual contributor who sets the technical bar, drives architectural decisions, and delivers the highest-complexity work on the team. This individual is expected to be based in Bengaluru. This is a high-impact role at the intersection of finance domain expertise and data platform capability. You will work closely with a team of finance data engineers as a technical lead and mentor, and partner directly with Accounting, FP&A, and Finance leadership to define what gets built and how. What You Will Do: Design and develop ETL pipelines using Databricks SQL and Python / PySpark to enhance reporting, automate journal entries, and transform core financial processes across various domains in accounting and FP&A, such as revenue, expenses, equity, commissions, and tax Architect, build, and own the most complex finance data pipelines in the Finance data lake using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations Lead the technical design of AI use cases for the Finance and Accounting organisation, including forecasting automation, anomaly detection, and natural language interfaces to financial data Build and maintain internal Finance applications (Databricks Apps, Genie Agents, AI/BI dashboards) that enable self-service for non-technical Finance stakeholders Design and deliver curated Finance datasets and enforce row-level security, data access policies, and Unity Catalog governance standards Define and champion coding standards, data modelling conventions, documentation practices, and testing frameworks across the Finance engineering team Enforce and evo

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a mid- to senior-level Physical Design Engineer with a strong background in static timing analysis (STA). In this role, you will help converge multi-million-gate designs on advanced process nodes and partner with cross-functional teams through final signoff and tapeout. This role is hybrid , based out of Austin, TX, Fort Collins, CO, or Santa Clara, CA . We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A physical design engineer with 8+ years of experience in STA, timing closure, and advanced-node design implementation. Experienced with timing flows, constraints, clocking, CDC, RDC, derates, uncertainties, guardbanding, and final signoff. Skilled in writing and debugging SDC constraints, creating ECOs, developing closure strategies, and analyzing worst-case corners. A strong collaborator and communicator who can drive results across distributed, cross-functional engineering teams. What We Need Drive timing convergence across blocks, partitions, sections, and top-level designs; generate and validate timing models and publish results. Analyze timing violations, develop and propagate fixes, debug timing-flow issues, and

Become a part of our caring community The Lead Technology Leadership Professional is responsible for all aspects of software or hardware product delivery and performance. The Lead Technology Leadership Professional works on problems of diverse scope and complexity ranging from moderate to substantial. The Lead Technology Leadership Professional works with design engineering and test team to drive products from design completion to volume production release. Performs various engineering tests to verify and validate product designs. Supports product evaluation and qualification on leading edge technology components. Ensures that production schedules are followed and product(s) meet specifications and quality requirements. Interacts with product engineering, quality, manufacturing and marketing teams to analyze and provide technical support to help resolve customers' product related problems/issues. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action. Use your skills to make an impact Required Qualifications Bachelor's degree 2 or more years of project leadership experience Experience with the technologies in use in the application(s) or infrastructure Experience with unit testing and mocking Ability to manage multiple tasks and deadlines with attention to detail. Ability to communicate effectively and deliver presentations to senior leaders Advanced experience leading special projects and producing metrics, measurements and trend reports Must be passionate about

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Intro: Join our Process QE team in Taiwan, where we drive innovation and excellence in process quality control and user-friendly and reliable manufacturing system environments. We empower our team members to make a tangible impact on the world. Position Overview: As a Process QE Technician, you will focus on one function within the multifaceted realm of process quality engineering. You will support engineers with routine tasks and collaborate on engineering projects. This outstanding opportunity will allow you to develop your skills in a collaborative and inclusive environment, where your contributions will be valued and your growth supported. Responsibilities: Follow SOPs to perform routines such as system settings, document control, and metrics maintenance. Tasks change based on the function assigned in process QE. Collaborate with senior engineers to analyze and resolve technical issues with detailed solutions. Initiate solutions using Micron's tools to improve labor efficiency and mitigate risks during conversion. Contribute to the continuous improvement of engineering processes and practices. Qualifications & Skills: Proven ability to work in a team-oriented, collaborative environment. Determined and proactive approach to learning and tackling

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by great technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Our team is looking for Senior System Engineers specializing in self-driving vehicle technology. As a senior member you will be responsible for integrating and maintaining end-to-end software with Sensing/Perception/Localization/Planning/Control included, ensuring its stable and safe deployment in the field. What you'll be doing: Develop and maintain the application as well as vital tools for autonomous driving Diagnose and tackle real exciting problems to provide the world with the best driving experience Vertical stack performance optimization What we need to see: BS/MS or higher in computer science or a related engineering field Excellent C and C++ programming 5+ years of relevant proven experience Experienced in developing system software in user space with capability digging into kernel and even low-level hardware Good understanding of Operating Systems, threading, synchronization and parallel computing to build highly efficient applications Familiar with underlying parallel architectures, CPU/GPU/DLA/DSP Excellent analytical, communication and collaboration skills in international organization Ways to stand out from the crowd: Software development experience with CUDA Prior experience in: Autonomous vehicles, Robotics, Computer Vision and/or ML Understa

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors. Approximately 170 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here. Bracebridge is seeking to hire a talented graduate student as a co-op in our Quantitative Research department. The co-op will report to the Manager of the Research Application Development group and will be exposed to all aspects of the software development lifecycle. Primary Responsibilities: Work with senior engineers to design and develop new features on application platforms Determine root cause and resolve any issues arising on application platforms Implement unit and integration tests Required Skills and Credentials: Top academic credentials in pursuit of a MS degree in Computer Science, Engineering or Information Systems Understanding of object-oriented programming Knowledge of SQL Intellectual curiosity and an eagerness to learn Knowledge of web development Experience with C# and .NET is a plus Current anticipated annual base salary range: $43 - $48/hour Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the Answers Relevance team leverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring Senior and Staff Machine Learning Engineers to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other! What You’ll Work On You’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems. You don’t need experience in every area listed below. A background in a few may make you a great fit! Recommendations, search, content understanding, or large-scale data and ML infrastructure SOTA large scale RecSys Foundational retriever models RAG systems, retrieval methods, LLM evaluation, or production LLM features Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe