Lead Senior Content Support Engineer Jobs

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or c

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

OVERVIEW The Medical Coder is responsible for centralized medical coding activities and serious adverse event (SAE) reconciliation, serving as the lead coding resource for assigned clinical trials. This role ensures the accuracy and compliance of coding practices, maintains Medical Coding Guidelines and SAE Plans, and supports the reconciliation of serious adverse events. KEY TASKS & RESPONSIBILITIES ➢ Design and maintain Medical Coding Guidelines and Serious Adverse Event reconciliation plans in collaboration with sponsors ➢ Perform precise and consistent medical coding following coding guidelines and utilizing MedDRA and WHODrug dictionaries ➢ Conduct reviews for coding accuracy and consistency reviews including the approval of coded terms and synonym lists ➢ Perform serious adverse event reconciliation across clinical trial databases, safety systems and other relevant sources ➢ Generate coding/SAE queries as necessary ➢ Collaborate with safety, clinical, and data management teams to resolve discrepancies and ensure accurate representation of medical coding and safety information ➢ Document coding decisions and justifications for clarity and auditability ➢Assist in maintenance activities for coding tools, including User Acceptance Testing (UAT) script creation and execution ➢ Participate in the completion of MedDRA and WHODrug dictionary up versioning workflow activities in alignment with medical coding guidelines ➢ Perform testing of coding tool and deployment of coding/SAE listings in elluminate® ➢ Ensure compliance with eClinical Solutions and industry quality standards, regulations, guidelines, and procedures ➢ Other duties as assigned Education & Experience ➢ Bachelor’s degree in relevant health science or professional qualification in a relevant scientific/technical discipline preferred ➢ 5+ years’ experience in the Pharmaceutical/Biotechnology industry with medical coding experience us

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. The Engineering team at Micron is at the forefront of innovation, driving the development and implementation of modern technology. Our collaborative environment cultivates growth and creativity, enabling us to deliver world-class solutions that build the future of information technology. The Operations Equipment Program Manager plays a significant role in our Engineering function. In this role you will partner with high volume manufacturing leadership and equipment teams to ensure flawless tool installations and lead ongoing continuous improvement across all facets of fab tool installations with facilities, construction, suppliers, procurement and global teams to meet installation deliverables. Advancing critical initiatives, you will lead high-impact initiatives by harnessing data insights and emerging AI technologies to optimize business processes, improve efficiency, and deliver strategic value. Responsibilities: Support Equipment Managers and Tool Owners in delivering high-quality tool installations through process qualification ahead of required in-service dates. Drive priority alignment and issue resolution across all organizations involved in tool installation and qualification activities. Routinely audit installation quality, safety, and schedule adherence across all process tool installations. Partner with global teams on installation standardization and improvement projects, and Procurement and Supplier Management teams to proactively identify risks and initiate ea

The CRM Technologies team builds, scales, and operates Salesforce-based solutions that power MongoDB’s customer lifecycle, from marketing engagement and lead management through sales execution, account management, renewals, reporting, and downstream operational workflows. The team partners closely with Marketing, Sales Operations, Revenue Operations, Finance, Customer Success, Data, and Engineering to deliver secure, scalable, and reliable business systems. The team continuously evolves the CRM and marketing technology ecosystem through automation, integrations, data quality improvements, and platform operations. Role Overview We are looking for an Engineer III, Business Systems to design, build, and support the systems and integrations that enable MongoDB’s top-of-funnel and lead-to-revenue processes. This individual contributor role will focus on marketing technology, lead lifecycle management, enrichment, campaign operations, account and territory management, activity management, outreach, annual planning, and inbound and outbound integrations. You will translate business requirements into scalable technical solutions using Salesforce, marketing automation platforms, integration tools, APIs, and data services. You will own delivery across the full solution lifecycle, including requirements analysis, solution design, development, testing, deployment, documentation, monitoring, and production support. You will also contribute to engineering standards, platform governance, data quality, and continuous improvement across the GTM Technology ecosystem. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What You’ll Do Design, build, and support solutions for top-of-funnel and marketing operations processes Develop and enhance lead capture, lead conversion, routing, qualification, scoring, and lifecycle management capabilities Administer and integrate marketing and enrichment platforms such as FCI, LeanData, Ortoo, and related G

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are seeking a hands-on Engineering Manager to lead our Frontier AI Infrastructure team within Public Sector Engineering. This is a 50/50 role : you'll spend roughly half your time writing and reviewing code, and half your time leading, coaching, and growing a small team of engineers. Your team owns the model inference layer — enabling state-of-the-art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You'll lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and debug platform issues, and you'll partner upstream with Product to catch issues before they break, moving the team from "infra-only debugging" to proactive integration testing. You will: As a manager - 50/50 management and hands on coding experience. Lead, coach, and grow a team of engineers — own hiring, onboarding, performance, and career development. Set technical direction and quarterly priorities for the inference layer, and hold the team accountable to delivery on customer and contract commitments. Run the operational rhythm of the team: sprint planning, on-call rotation, incident review, and postmortems. Partner with Product, Program, and Deployed Engineering leadership to translate customer and mission requirements into roadmap. Represent the team in customer engagements and vendor escalations, including with government stakeholders. Design and implement secure, scalable backend systems for Public Sector customers, leveraging Scale's modern cloud-native AI infrastructure. Own services and systems alongside your team, define their long-term health goals, and improve the health of surrounding components. Stay in the code: review PRs, debug production issues, and take on meaningful technical wor

About the Team This individual will be a trusted advisor and thought partner to the Leaders of the DoorDash Labs Engineering and Operations teams. The ideal candidate will thrive in ambiguity, lead with influence, and deliver high-impact solutions across performance, organizational design, talent planning, DEI, and leadership development. About the Role This is a hybrid role that will require some in-office time in either San Francisco, CA or Tempe, AZ. As a member of our team, you'll partner closely with leaders and cross-functional stakeholders to drive meaningful business outcomes through thoughtful collaboration, clear communication, and strong execution. You'll work in a highly collaborative environment with weekly team syncs, regular asynchronous communication via Slack, and flexible working hours that prioritize core collaboration.. Our team values intentional, inclusive meetings where decisions are documented and shared transparently, and we foster connection through monthly virtual coffee chats and team offsites. Success in this role will be measured by the impact you have on both the business and the employee experience. You'll help drive strong leadership partnership, healthy organizational outcomes, and effective talent practices, with success reflected in partner satisfaction, employee engagement, talent planning and succession readiness, organizational health assessments, and the successful execution of performance and compensation cycles. This is an exciting opportunity to influence how teams grow, perform, and scale as DoorDash continues to evolve. This role is part of our broader People organization, helping build exceptional teams and enabling DoorDash to empower local economies around the world. We are seeking a strategic and globally minded People Business Partner to support our DoorDash Labs team, which focuses on Autonomous Delivery, serving a client group of ~500 employees across North America. This is a hybrid position based in either San Fra

MongoDB is seeking a Partner Solutions Architect to focus on our Large Deals exclusively on strategic, high-value pursuits with Global System Integrators (GSIs). This role will lead the technical strategy and execution of complex GSI-led bids, helping MongoDB and its GSI partners develop differentiated solutions and secure large, strategic opportunities. The successful candidate will operate across MongoDB, GSI partners, customers, sales teams, delivery organizations, and executive stakeholders to develop compelling joint solutions, strengthen technical win strategies, and drive successful outcomes for large transformation programs. We are looking for candidates who are based in Bengaluru/Gurugram/Delhi/Hyderabad/Chennai for our hybrid working model. Responsibilities Lead the technical architecture and solution strategy for large, complex, and strategic bids Partner with sales, bid leadership, account teams, product specialists, services, legal, finance, and executive sponsors to deliver coordinated pursuits Develop joint value propositions, solution architectures, technical proposals, statements of work, and bid responses Engage partner architects and delivery teams to validate feasibility, implementation approach, scope, risks, and dependencies Facilitate technical discovery, architecture workshops, solution reviews, demonstrations, proof-of-value activities, and executive presentations Translate customer business outcomes into scalable MongoDB-based architectures and partner delivery models Shape partner-led modernization, migration, cloud, application development, data, analytics, and AI solutions Identify technical risks, competitive threats, delivery constraints, and commercial considerations early in the bid lifecycle Create reusable bid assets, reference architectures, technical content, and best practices for future pursuits Ensure proposed solutions align with MongoDB product capabilities, partner expertise, security requirements, and customer success crit

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Madrid. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 6+ years of engineering or technical deployment experience that includes customer-facing work Professional fluency in Spanish and English is required, as this role supports Spanish-speaking customers Have scoped and delivered complex systems in fast-moving or ambiguous enviro

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 6+ years of engineering or technical deployment experience that includes customer-facing work Professional fluency in Spanish and English is required, as this role supports Spanish-speaking customers Have scoped and delivered complex systems in fast-moving or ambiguous enviro

The Position CallRail is looking for a Vertical Marketing Manager to own our healthcare business. CallRail is a lead engagement platform: we show businesses which marketing drives their calls, forms, and chats, and we help them answer, qualify, and route those leads around the clock. Healthcare organizations are one of our largest and fastest-moving markets. Think of this role as the general manager for healthcare at CallRail: you set the strategy, you own the number, and you are the person the rest of the company turns to when they need to understand this market. You'll build the healthcare personas, positioning, and messaging, verticalizing our go-to-market narrative for this audience. From there you'll partner with demand generation, customer marketing, and content on how it comes to life, and work closely with sales, product, and leadership on what we build and say. You'll decide which healthcare subverticals we go after, how we talk to them, what we need to build or partner on to win. It's a role for someone who is energized by ownership, is happiest when they know a market better than anyone else in the room, and would rather bring a plan than wait for an assignment. The mix is roughly equal parts strategy and execution: you'll build the plan, and then you'll roll up your sleeves and go run it, with cross-functional support. What You'll Do You act like an owner. Healthcare is your line of business. You know its performance, its risks, and its opportunities inside and out, and you carry the accountability that comes with it. You come with a point of view. You represent heathcare in cross-functional and leadership conversations, and your perspective carries weight because it's grounded in real expertise — what customers are telling you, what the data shows, what competitors are doing. You advocate for what your market needs. You don't wait for a door to open; you open it. When you see something we need in order to win in home services,

We are looking for an experienced Manager, Solutions Engineering - Commercial to lead and grow a high-performing team of Solutions Engineers (SEs) in our Commercial Vertical. This is a Pre-sales team leadership role , not a software engineering or product development role. The ideal candidate has a proven background in presales, customer-facing technical consulting, or customer-facing solutions architecture, and excels at combining business storytelling and executive presence with their technical expertise. As a leader, you’ll coach and mentor Solutions Engineers to have value-driven conversations with customers and partners, discover and design compelling solution demonstrations, and develop problem-solving solution architectures to help customers understand how our solutions will integrate into their environment. You will also collaborate closely with Sales, Product, and Partner teams to accelerate customer adoption, drive revenue growth, and ensure overall customer success. In partnership with the AVP of Sales for the Commercial vertical , you will define and execute a go-to-market strategy focused on acquiring new logos and expanding Talkdesk’s presence within the Commercial segment. Responsibilities: Lead a Solution Engineering team that develops and executes on go-to-market strategies to increase market penetration including driving customer facing activities, hiring, onboarding, and retaining our Solutions team. Partner with the HLS Sales leader to lead and drive the HLS business growth through identification of opportunities aligned with Talkdesk solution differentiators and strategic imperatives. Bring a growth-oriented Presales perspective to opportunity qualification and pursuit for the HLS team. Grow and develop the Global Solutions team. Hire to your team’s growth plan. Identify process and operational improvements for our organization then lead those projects through to success. Set visionary goals for te

This role is responsible to execute operations of the thermal power plant during the shift, focusing on operational efficiency, safety, and compliance. The Lead Assistant Shift In-charge will support the management of all units, switchyard, and Balance of Plant (BoP), and will work closely with the Desk Engineer and other team members to maintain optimal plant performance and handle emergencies. Source: Adani Group | Job ID: 57874

Reporting to the VP, Product for Diligent Market Intelligence, you will lead the strategy, roadmap and evolution of Stewardship Intelligence—one of DMI’s core data products. Stewardship Intelligence provides meeting , executive compensation, corporate governance and proxy-voting intelligence to institutional asset managers, stewardship and governance professionals, compensation advisers and consultants, and corporate issuers . You will lead both Product Management and Research. This is a domain-led role: substantial experience in stewardship, proxy voting, corporate governance, executive compensation, investor relations or a closely related capital- markets domain is required . You will translate customer and market needs into clear product priorities, improve how research is performed at scale, and ensure that Stewardship Intelligence remains trusted, timely and valuable to its users. Here’s a breakdown of what you’ll do Own and continuously refine the product vision, strategy, roadmap and prioritisation for the Stewardship Intelligence portfolio, covering meeting , executive compensation, corporate governance and proxy-voting intelligence. Lead, develop and organise the Product Management and Research teams, establishing clear priorities, effective ways of working (with an emphasis on AI integration where possible), strong collaboration and a culture of accountability and continuous improvement. Be responsible for improving dataset coverage, methodology , quality, traceability and timeliness, using appropriate process redesign, automation and AI-enabled approaches without compromising accuracy or trust. Partner closely with Engineering and UX to define, build and launch high-quality product experiences and Data-as-a-Service capabilities that make