Lead Technical Implementation Manager in India

The Cyber Deployment Manager partners with customers throughout the full lifecycle—from technical discovery and solution design through implementation, deployment, and adoption. You’ll work closely with Sales and Solutions Engineering during the pre-sales process to understand customer security priorities, assess technical requirements, develop solution architectures, and support demonstrations, workshops, and proofs of concept. After a customer commits, you’ll remain engaged as the technical deployment lead, translating the proposed solution into a production-ready implementation. You’ll guide integrations, establish success criteria, manage technical risks, and help customers operationalize AI across security workflows such as secure code review, vulnerability management, threat detection, incident response, SOC operations, and GRC automation. In this role, you will: Lead technical discovery with security executives, practitioners, architects, and engineering teams. Partner with Sales and Solutions Engineering on solution design, demonstrations, workshops, technical validation, and proofs of concept. Translate customer requirements into clear architectures, deployment plans, success criteria, and implementation milestones. Own the transition from pre-sales solution design into post-sales deployment and adoption. Serve as the primary technical partner during implementation, coordinating customer stakeholders and internal Product, Engineering, Security, and GTM teams. Build and troubleshoot integrations involving APIs, agents, security tools, cloud platforms, data sources, and enterprise workflows. Identify deployment risks, technical blockers, and product gaps, and drive them toward resolution. Help customers establish evaluation frameworks, governance controls, guardrails, monitoring, and human-review processes. Measure adoption and business impact, ensuring deployed solutions deliver meaningful security outcomes. Turn successful customer deployments into reusable

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Customer Value Architect (CVA) team sits inside Mixpanel's Revenue organization and owns the connection between what customers buy and what they actually get out of Mixpanel. You'll work alongside an Account Executive (AE), who owns growth, new business, and expansion; a Renewal Manager (RM), who owns the commercial renewal; and a Delivery Engineer (DE), who owns technical implementation and data health — each with a clear lane, converging on the same outcome for the customer. About the Role This is not a build role, but real comfort with data is required. As a Customer Value Architect, you are accountable for adoption, value realization, and account health across a portfolio of existing Mixpanel customers, from onboarding through to a renewal-ready handoff. You own the value case and the adoption evidence that underpins both the Account Executive's expansion motion and the Renewal Manager's renewal — without ever owning pricing or the commercial negotiation yourself. Responsibilities • Own the onboarding outcome and time-to-value for your accounts: take the handoff from the Account Executive, partner with the Delivery Engineer on the technical build, and drive the customer to their first realized value. • Own the success plan for each account — map business objectives to specific use cases and set a measurable baseline at definition time, so value can be proven later. • Lead customer enablement and training (dashboard design, funnel analysis, retention modeling) to grow how deeply and widely a customer uses Mixpanel. • Build and maintain a network of champions and evangelists ac

About the Team OpenAI's Enterprise team builds AI-powered enterprise products and shared platform capabilities that help organizations put advanced AI to work securely and at scale. Our work spans enterprise workflows, agent experiences, integrations, identity, administration, security, governance, and deployment. About the Role As a Technical Program Manager on Enterprise, you will lead the technical strategy and execution behind the products and shared capabilities that make ChatGPT, Codex, and future OpenAI products useful, secure, and scalable for organizations. You will translate customer needs, competitive dynamics, and product priorities into actionable plans, influence architectural direction, and deliver durable capabilities across application, platform, and infrastructure layers. The role requires deep technical fluency, strong product judgment, and the ability to move between hands-on execution and broader enterprise strategy. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Drive technical strategy and execution for enterprise product and AI workflow initiatives, from design through implementation, launch, customer rollout, and iteration. Partner with engineering teams to influence architectural direction, interface definitions, and implementation tradeoffs across full-stack products, APIs, integrations, and shared platform systems. Translate enterprise customer requirements into actionable product priorities across AI-powered workflows, agent experiences, integrations, permissions, data access, evaluations, identity, security, governance, and deployment readiness. Represent the needs of enterprise buyers, IT administrators, security teams, business leaders, developers, and end users in product and technical decisions. Identify adoption barriers, competitive gaps, and opportunities to make OpenAI products easier for organizations

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a software engineering manager to join the Alternatives Data Management (ADM) team. Our team is building AI-powered data products and workflow solutions that unlock transparency, efficiency, and insight in private market investments. You’ll lead a full-stack team of engineers and collaborate closely with Product and Design to deliver client-facing features that will set us apart from our competitors. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Manage a small team of frontend and backend engineers that will grow as you do Own technical design and implementation for some of your projects to set a good example for the ICs Work with platform teams to deliver features with consistent capabilities Drive the career growth of your direct reports Stay up to date on industry trends, such as AI tooling, that can make the team more effective Collaborate with ADM engineering and product leads in the US, UK and India to drive team-wide process improvements and best practices Who you are B

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is transforming the future of data and we are looking for a dynamic Manager, Technical Delivery to lead our Snowflake Professional Services team. As strategic experts in implementing the Snowflake platform, we engage with customers to optimise, accelerate, and drive meaningful business outcomes through cutting-edge technology solutions. As a Manager, Technical Delivery, you will lead teams executing complex migrations from legacy systems to the Snowflake platform. Your role will involve close collaboration with customers and system integrators to understand requirements, design robust migration strategies, and oversee seamless transitions. Your leadership will ensure that Snowflake is positioned as the premier solution in data warehousing and analytics, influencing both technical and executive stakeholders. AS A MANAGER, TECHNICAL DELIVERY AT SNOWFLAKE, YOU WILL: Lead and develop a team of Solutions Architects and Consultants, who serve as our Snowflake implementation, optimisation, development and delivery experts. • Mentor and manage a team of Snowflake Solutions Architects and Consultants helping them to develop their expertise Play an active role in sourcing and screening potential candidates and managing the interview process Be a technical expert on all aspe

Lead OT Cybersecurity Engineer will spearhead the design, implementation and operations of cybersecurity controls across OT/ICS environments. This role acts as the technical authority for securing industrial automation systems, ensuring visibility, resilience, compliance and threat protection across plants and manufacturing operations. The position requires close collaboration with Plant Engineering, OEM vendors, IT Security teams, Cybersecurity team and SOC to strengthen OT cyber maturity, implement secure architectures and drive incident response readiness aligned with global standards (IEC 62443, NIST 800 82, ISO 27001, etc). Source: Adani Group | Job ID: 55796

To lead the Generative AI engineering initiatives at Adani AI Labs, focusing on developing intelligent agents and sovereign cloud AI solutions. This role drives the architectural design, implementation, and scaling of Generative AI applications that optimize operations across Adani’s industrial sectors, aligning with the vision to deliver secure, scalable, and intelligent digital transformation. The Engineering Manager will oversee a team of backend engineers while remaining actively involved in technical execution. This is an exciting opportunity to lead mission-critical product engineering initiatives and build state-of-the-art AI-driven systems within a dynamic and innovative environment at Adani. Source: Adani Group | Job ID: 44640

Opportunity Overview: We are seeking a Technical, Hands-on Manager to lead a team in building AI-driven healthcare enterprise applications . In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts while having the ability to guide the team through evaluating, selecting, and implementing the right models , paired with an understanding of end to end workflow and ensure the delivery of scalable AI solutions . This position requires excellent communication and collaboration skills as you partner closely with internal stakeholders and cross‑functional engineering, product, and clinical teams . In our fast-paced environment, adaptability is key—your ability to reprioritize quickly and lead your team through evolving business needs will ensure maximum impact What you’ll do: Lead, mentor, and develop a high‑performing team of Data Scientists and ML Engineers, ensuring strong execution and continuous skill advancement. Contribute to event‑driven architecture design and implementation, enabling asynchronous processing and large‑scale system integration. Work seamlessly across functions—partnering with Data Scientists on model tuning, experimentation, and prompt design; collaborating with Product and Software Engineering to embed AI/ML into user-facing applications; engaging with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies. Provide technical leadership in the effective use of AWS services such as Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend, Bedrock. Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams. Conduct code reviews, pr

The ERC Engineer - Electrical & Instrumentation (E&I) supports the ERC Lead - Electrical in managing electrical systems design and implementation for various projects. This role involves assisting preparing/reviewing in electrical equipment selection, preparation of technical documents, vendor coordination, and ensuring compliance with industry standards to deliver efficient project solutions. Source: Adani Group | Job ID: 54911

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: 8–12 years of Data Engineering experience. Experience leading enterprise-scale data initia

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

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

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. Okta is seeking an experienced Senior Adobe Experience Cloud Engineer with a deep understanding of Adobe’s tech stack to join our growing team.The position will play a crucial role in designing, developing, and maintaining solutions that leverage Adobe technologies to meet the unique business needs of our business partners. You must be collaborative and able to build trusted partnerships with extended teams. A successful candidate will have the ability to balance priorities and collaborate with cross functional teams while delivering within an agile delivery framework and supervising key performance indicators. Responsibilities Solution Design & Development: Lead the development and implementation of custom solutions and integrations within Adobe Experience Cloud, including Adobe Experience Cloud solutions, including Content Management, Assets, Multi-Site-Management, and Cloud manager Architecture & Scalability: Architect and build scalable, high-performance systems and applications that meet business requirements and technical specifications. Integration & Optimization: Develop and maintain integrations between Adobe Experience Cloud products and other internal or third-party systems. Optimize existing systems for performance and reliability. Collaboration: Work closely with product managers, solution architects, and other stakeholders to gather requirements, define project scopes, and deliver high-quality software solutions. Agile Development:

Role purpose This role is within the Design capability for Finance on the cloud under Transformation Family. Requirement Analysis & Design team is a team formed under change delivery and this role is expected to support Finance in the cloud design & implementation work India. The team consist of 30-40 Business analysts who are Design business analyst with techno-functional skills and subject matter experts in Liquidity reporting/ ALCM domain. There are quarterly/monthly releases planned for the current production system and the Requirement & design team is involved in requirement analysis, functional solution design, requirements translation into deliverables, delivery tracking during the release and support the program/project manager. Governance and Committee Memberships NA Principal Accountabilities and Responsibilities The principal responsibility of the Business Analysis job category is to manage and execute analysis activity for one or more projects, programmes of Liquidity Reporting. The role holder may be in a variety of areas of HSBC, they may be in projects as well as in established BAU teams. It is possible that the Business Analyst will work on multiple projects, programmes or value streams simultaneously. Primary responsibilities & accountability includes the following- · Lead cloud requirements (L1 & L2- Mandatory regulatory requirement, system enhancements, output requirements) · Work on finding the optimal design solution of the requirements by interacting with different stakeholders. · Ensuring all the requisite project documents (functional designs, L2 solution, technical design, etc) are prepared & maintained. · Involved in the various stages of Change Delivery cycle (design, testing, implementation). · Engage with stakeholders to en