Engineering Execution Manager Jobs

About the team The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use cases and bring them into production through strong architectural guidance and hands-on execution. The Partner Applied AI Engineering organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful adoption of OpenAI technologies. As the leader of the AWS Partner AAE pod, you will manage a team of Applied AI Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner Applied AI Engineering – AWS to lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help build scalable, repeatable ways for partners and their customers to adopt OpenAI technologies. Your team will guide partners and customers across the full AI implementation lifecycle—from identifying and shaping high-value use cases to solution design, architecture, production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering to ensure the voice of partners and customers informs our platform roadmap and how we bring OpenAI technology into production at scale. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Fra

We are seeking an Engineering Manager to join our growing Gurugram Product & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As an Engineering Manager on this new team, you will be responsible for leading and growing an engineering team, taking on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Position Expectations Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement Drive the architectural vision for the platform, ensuring it runs equally well on public clouds, private cloud environments and on-premise Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements Take responsibility for the planning and execution of major features, raise delivery risks Own the monitoring, operations, and maintenance of the systems your team develops Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects Qualifications 8+ years of experience of building distributed systems, and/or foundati

Datadog is looking for an Engineering Manager to lead and grow our Code Coverage team, which is building the next generation of AI-powered developer tooling. This team owns Datadog’s Code Coverage product across the entire stack, helping customers track and enforce test coverage. Code Coverage is part of the Software Delivery suite, which enables engineering teams to move faster and more securely. In this role, you will lead and develop a high-performing engineering team in an ambiguous environment. You’ll set technical direction, drive execution, and remain hands-on. You will partner closely with customers and product management to evolve the product into an automated system that leverages production signals and AI to improve test quality, relevance, and performance. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead and develop a team of four engineers in Madrid, supporting their growth through mentorship, regular 1:1s, and clear performance feedback, while fostering a strong culture of ownership and quality Guide the evolution of Code Coverage into an AI-powered system that uses production data and LLMs to identify coverage gaps and improve test effectiveness Partner with product management and customers to define and evolve the roadmap, aligning stakeholders and translating strategy into clear priorities Stay hands-on by contributing to architecture and design decisions, and by participating in the on-call rotation Who You Are: You have a strong interest in AI and agentic engineering, and are curious about how LLMs and autonomous systems can improve developer workflows You have experience leading an engineering team as a tech lead or manager, with a track record of developing engineers at different level

About the Team The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely. The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting. About the Role We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems. You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity. In This Role, You Will Lead and grow a high-performing Trust & Safety Data Engineering team. Define the roadmap and technical strategy for Trust & Safety data systems. Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring. Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting,

P-1110 At Databricks, we are passionate about enabling data 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. We are the Lakeflow Engineering team, responsible for Databricks ETL product line: Jobs , Spark Declarative Pipelines , and Genie Code for Data Engineering . We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers. We're seeking a dedicated Engineering Leader to spearhead the Pipelines Engine engineering team. The team is responsible for building next generation Runtime ETL features and ensuring that Lakeflow Pipelines has state of art performance for ETL workloads. You will also spearhead the Agentic Data Engineering infrastructure, by building the next generation engine to power agentic pipeline authoring, execution and maintenance. The main responsibilities include: You will lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform. You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team. You will build processes to implement product vision and strategy, according to organizational goals and priorities. You will build software that is not just high quality but easy to operate. You will manage technical debt, including long-term technical architecture decisions and balance product roadmap. What we look for: Minimum 3 years of experience in managing top-tier engineering teams 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals. A passion for database systems, storage systems, distributed systems, or performance optimization

Toast is building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: running the businesses they love. We’ve grown into a leading hospitality software company in the U.S., and are now entering our next phase of growth—one defined by scale, complexity, and a new class of enterprise customers. As our customers grow, so do the demands on our platform. Operators who once managed a handful of locations are rapidly expanding, while new enterprise brands are adopting Toast to power increasingly complex operations. Supporting this evolution requires more robust, enterprise-grade capabilities. Within this space, we’re looking for a Software Engineering Manager to lead our Partner Connect team. In this role, you’ll guide a team delivering high-impact features that directly shape the experience of every Toast customer. You’ll be responsible not just for what the team builds, but how it builds—driving clarity, improving execution, and maintaining a high bar for quality. Your team will own the frameworks to manage integrations with Toast for all our partners and customers.You will work with the team to help build a feature rich, consistent, unified experience for anyone who wishes to connect to Toasts APIs, consume our data and integrate with restaurants. You will also play a role in evolving our architecture to support ever more complex new features and best-in-class monitoring as we scale to orders of magnitude of our current size! You’re someone who enjoys developing engineers and building strong, collaborative teams. You connect day-to-day work to broader outcomes, helping your team understand the impact of what they’re building while identifying opportunities to deliver more effectively. You bring enough technical depth to provide clear direction and sound judgment, while still empowering engineers to take ownership. Day to day, your work will span reviewing design documents and pull requests, facilitating cross-team discu

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. Senior Manager, Industrial Engineering (IE) Join Micron, a global leader in memory and storage solutions, and be part of an exceptionally innovative team in Gujarat that transforms information into intelligence! As the Senior Manager of Industrial Engineering, you will drive world-class manufacturing operations with a focus on flawless execution and ambitious growth. Leveraging AI Key Responsibilities Factory Capacity & Resource Planning Develop and sustain factory capacity models to aid production scheduling and business expansion. Lead long-term capacity planning and scenario analysis for assembly and test operations. Assess equipment, labor, and space needs to support production ramps and new product introductions. Industrial Engineering & Efficiency Lead labor efficiency and direct labor optimization initiatives. Establish staffing models, labor standards, and workforce planning methodologies. Drive cost reduction and efficiency improvement programs through data-driven analysis. Identify and implement guidelines to improve factory performance. Operational Excellence Advocate for Lean Manufacturing, Six Sigma, and Continuous Improvement initiatives. Lead factory efficiency roadmaps and operational excellence projects. Monitor and improve key manufacturing benchmarks such as capacity utilization, labor efficiency, cost per unit

The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering (FDE) organisation. You are responsible for the end to end GTM of the FDE and Training organisations, working closely with account teams and customers. You will independently scope complex engagements with multiple workstreams spanning data and AI which will deliver outcomes for our largest customers. The impact you will have: Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: 7-10 years running a Professional Services line of business. 10+ years in senior customer-facing roles with a mix of influencing and execution. Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). Strong knowledge of Databricks architecture, competitors, and migration benefits. Proven track record of managing large-scale program plans and service delivery. Ability to travel up as required. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databric

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. About the Role We are seeking a Senior Manager, Software Engineering to join our technology organization, reporting directly to the Director of Software Engineering. This pivotal role requires an engineering leader with deep Salesforce ecosystem expertise complemented by a broad software engineering background. You will build and scale the technical foundation supporting our key growth drivers: Brand, Marketing, Partnerships, CC-Sales (Contact Center Sales), and Outreach Programs . In this role, you will lead a team of software and Salesforce engineers building scalable, integrated, and cloud-native solutions. You will sit at the intersection of enterprise CRM capabilities and broader custom software engineering, driving everything from API integrations and custom microservices to automated outreach workflows and AI-driven automation. Key Responsibilities Technical Leadership & Domain Ownership Strategic Alignment: Own the technical vision, execution, and delivery across business-critical focus areas: Brand, Marketing, Partnerships, CC-Sale

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. As a Technical Program Manager within our Platform Gen organization, you’ll drive complex, cross-functional engineering initiatives spanning runtime systems, device drivers, deployment, observability, and hardware enablement. This is a technical role for someone who can go beyond tracking timelines and coordinating meetings. You’ll work closely with software, hardware, systems, and architecture teams to understand technical challenges, identify dependencies, drive solutions, and turn ambiguous engineering problems into clear execution plans. Our team’s work directly impacts the reliability and performance of Tenstorrent’s AI platforms, from individual accelerators to large-scale AI compute clusters. You’ll help improve system reliability, streamline deployment and debugging, accelerate software and hardware readiness, and ensure our platforms meet the needs of internal teams and external customers. This role is hybrid, based out of Santa Clara, CA; Austin, TX; or Toronto, Canada. 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 Technically grounded, with experience in software engineering, systems engineering, or technical program manag

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as &#34;the AI computing company.&#34; We're looking to grow our company and establish teams with the most thoughtful people in the world. We are looking for an excellent Senior Engineering Manager to lead a large firmware engineering organization delivering end-to-end manageability firmware for NVIDIA's next generation Data Center Compute Systems. This role owns HGX product line and OpenBMC-based management firmware and MCU firmware components in data center platforms, including architecture, execution, quality, reliability, telemetry, and customer readiness. We are seeking an experienced senior leader with strong technical depth, broad system perspective, and a proven ability to lead large teams through complex product cycles. This role is onsite in Santa Clara, CA, USA. If you're creative and autonomous, we want to hear from you! What you'll be doing: Lead a large firmware engineering organization delivering OpenBMC based firmware and MCU firmware for next-generation Data Center Compute Systems. Own HGX platform as a lead for Firmware and System software readiness working across the organization. Define and drive the long-term firmware roadmap, balancing architectural innovation with product execution and delivery milestones. Drive architecture strategy across BMC, MCU, platform software, manageability, health management, and data center firmware interfaces. <spa

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 Program Manager within our Manufacturing Test Engineering Development team, you will provide single-threaded test program ownership of L6 and L10 testing for NPI, sustaining production, qualifications, and test strategy. While the Operations PM owns the factory and schedule, you own test engineering readiness against that schedule, ensuring test engineering is never the surprise at a gate review. You will differentiate this role by translating build milestones into test deliverables at each assembly level, and feeding real constraints back into planning to empower engineers to focus on technical execution. WHAT YOU'LL DO Maintain an integrated view of every commitment across L6 and L10 NPI, production, qualifications, and test strategy, driving cross-functional dependencies, owners, and timelines in one place. Own gate and checkpoint readiness at every L6 and L10 milestone by tracking test coverage, ICT fixture availability, parts lead times, and test software releases to ensure seamless deployments. Facilitate strategic communication, conflict resolution, and architectural decisions, identifying risks early and arriving at gate reviews with a recommended mitigation path. Absorb status reporting, granular logistics, and dashboard maintenance for team workloads, enabling engineers to remain focused exclusively on technical deliverables. Solve for root causes and refine organizational workflows

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Manager, Sales Engineering - Federal DoW to join our team. This is a Remote (DC Metro Area) role, reporting to the Federal Sales Engineering Director in the Zscaler Public Sector department. The Senior Manager, Sales Engineering - Federal DoW provides direction and specialist knowledge to Sales Engineers supporting Federal Agencies and their missions. Working in close partnership with the Sales leadership, this role directs Sales Engineering resources through the entire sales cycle while delivering technical and functional leadership. You will play an instrumental role in account planning and strategy, serve as a key advisor to customers for long-term success, and actively develop team capability through coaching and high-impact execution. What you’ll do (Role Expectations) Drive increased execution on building technical champions across our customer base Lead the recruiting, training, and o

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 Drive the technical foundation and supply integrity of Everpure’s enterprise flash arrays, blades, and server building blocks as Component Engineering Manager. You will lead a high-performing engineering team and serve as the final authority on component qualification, ensuring every storage node, CPU, memory subsystem, and interconnect module meets uncompromising performance and reliability standards. By bridging Hardware Engineering, Quality, Supply Chain, and global semiconductor vendors, you will directly influence product architecture while safeguarding manufacturing continuity and operational scale. WHAT YOU'LL DO Engineering Leadership & Talent Development: Build, direct, and mentor a specialized team of component engineers spanning flash/SSD technologies and server platform hardware, fostering technical growth and setting execution priorities. End-to-End Component Qualification: Own the complete qualification lifecycle—defining rigorous test plans, analyzing supplier data, and issuing final approval for design-in and mass production across NAND flash, CPUs, DRAM, power systems, and interconnects. Strategic Flash & SSD Oversight: Drive roadmap alignment and technology node transitions with key storage suppliers, governing media characterization, firmware qualification, and long-term architectural integration. Supply Resilience & Risk Mitigation: Establish multi-sourcing strategies, lead s

Work Flexibility: Onsite As the Manager, Quality Assurance , you will lead quality assurance activities that support product quality, process performance, audit readiness, and continuous improvement across site operations. Working closely with Operations, Global Quality, Regulatory Affairs, and supplier partners, you will help ensure quality systems remain effective, compliant, and aligned with business objectives. This role is Onsite in Mahwah, New Jersey . What You Will Do Lead the Quality Assurance team, providing technical guidance and quality oversight across manufacturing and operations, supports functions to drive continuous improvement and compliance. Partner with site leadership to ensure products consistently meet customer expectations, regulatory requirements, and applicable quality standards. Develop, coach, and retain a high-performing team while fostering a culture of inclusion, accountability, collaboration, and employee engagement. Drive quality system compliance by partnering with functional leaders to establish, communicate, and maintain quality standards, requirements, and responsibilities. Lead site readiness activities and support internal, corporate, notified body, FDA, and other regulatory audits and inspections. Oversee the management of nonconforming products, product and process deviations, risk assessments, corrective actions, and preventive actions to ensure effective resolution and compliance. Monitor and improve Quality performance indicators, including NCR, CAPA, compliance, and operational quality metrics, and implement corrective actions for adverse trends. Support the development and execution of local and global Quality Operations strategies that improve product quality, operational efficiency, risk management, and regulatory compliance. <