Technical Program Management Monetization Director in United States

Job Title Remote Service Engineer Job Description Serve as the frontline remote technical expert, delivering rapid diagnostics and issue resolution for healthcare customers and field teams while minimizing onsite service through advanced troubleshooting and escalation management. Your role: Provide remote technical support and diagnostics to healthcare customers and field partners using advanced remote access technologies. Respond to customer inquiries as a Philips representative, delivering timely and accurate troubleshooting support. Resolve service issues by leveraging internal tools, systems, and knowledge resources. Escalate complex product issues to higher-level support for further evaluation and resolution. Utilize remote capabilities to efficiently resolve issues and reduce the need for onsite service dispatch. You're the right fit if: You’ve acquired 5+ years of remote software system experience along with a solid background in structured query language (SQL) and Windows server environments. Your skills include computer networking, technical solutions authoring, and the ability to solve mechanical and electrical issues. You have an associates degree or higher, technical discipline preferred. You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this Field Service position. You’re a team player who is versatile and keen to work with a variety of Philips products. How we work together We believe that we are better together than apart. For

Work Flexibility: Hybrid or Onsite Join Stryker’s Global Robotics Customer Care team and support the engineering processes that help maintain and improve service operations for the Mako robotic system and related technologies. This role offers the opportunity to contribute to process development, product lifecycle activities, and continuous improvement initiatives within a regulated medical technology environment. The Process Engineer will support repair, upgrade, and service processes while collaborating across functions to ensure quality, compliance, and operational efficiency. What You Will Do Support new product and process introductions by executing engineering activities and maintaining required documentation in accordance with established development procedures. Lead process and procedure updates related to product launches, product integrations, process improvements, and audit readiness activities. Identify and implement continuous improvement initiatives that enhance service operations, process efficiency, quality, and customer experience metrics. Conduct process investigations, experimental testing, equipment analysis, and validation activities to support repair and upgrade operations. Train service personnel on new processes and procedures while ensuring compliance with quality, safety, and regulated industry requirements. What You Will Need Required: Bachelor’s degree in Engineering or a related technical field. Minimum 0 years of relevant engineering experience. Ability to read and interpret engineering drawings. Working knowledge of geometrical dimensioning and tolerancing (GD&T). Preferred: Minimum 1 year of experience in process engineering, manufacturing engineering, service engineering, or a related field.</

We anticipate the application window for this opening will close on - 29 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Supplier Quality function partners with Contract Manufacturers (CMs), Original Equipment Manufacturers (OEMs), and critical suppliers to ensure the quality, compliance, and performance of externally manufactured products and components. This team works cross-functionally with Research & Development (R&D), Quality, Regulatory Affairs, and Operations to support product lifecycle activities, drive supplier performance improvements, and maintain compliance with applicable quality system and regulatory requirements. This position may be performed remotely anywhere within the United States. Travel up to 15% is required to support supplier audits, supplier performance reviews, business meetings, and cross-functional initiatives. The Senior Supplier Quality Engineer serves as the primary quality partner for strategic Contract Manufacturers and Original Equipment Manufacturers, ensuring supplier processes, products, and quality systems consistently meet Medtronic requirements. This role drives supplier quality performance, supports product and process changes, leads quality improvement initiatives, and provides technical quality guidance across supplier-related activities throughout the product lifecycle. Primary Responsi

Join VTS as an Engineering Manager. As a technical leader, you'll drive high-impact, customer-facing projects across major features in web and mobile. You’ll play a pivotal role in advancing VTS's evolution into an AI-powered platform, further cementing our industry-leading position. In this role, you will be responsible for fostering a healthy and collaborative culture, guiding the team's execution and delivery, and mentoring engineers to grow their careers and capabilities. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** To thrive in this role, you have: Proven experience leading software teams using agile development methodologies. A strong technical background with a proven track record of building, deploying, and maintaining scalable web applications, services, and third-party integrations. Experience working on high-impact, business-critical domains, where reliability, performance, and operational stability are essential. Demonstrated ability to recruit and develop talent, strengthening the team's capabilities through effective coaching and mentorship. The ability to engage in strategic technical discussions, adeptly manage technical tradeoffs and risks, and ensure alignment with product and business goals, especially in environments involving multiple systems and external partners. A sense of empathy for the customer and a relentless focus on shipping high-quality products. Excellent communication skills that empower you to effectively convey ideas, coach, mentor, and educate others. A keen interest in building AI-backed features and leveraging AI as an engineering productivity tool. What you'll do: Lead and Develop a High-Performing Team : Foster a healthy, collaborative, and diverse culture that reflects our company and engineering values. Coach and mentor individual team members, creating a structured environment and feedback loop that supports career development and hi

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge OneTrust is building the AI-Ready Governance Platform™ to help organizations build trust, manage risk, and use data and AI responsibly. Our platform brings together privacy automation, consent and preferences, data use governance, AI governance, tech risk and compliance, and third-party management across connected, cloud-based workflows. As a Senior Staff Quality Engineer, SDET, you will define the quality engineering strategy that enables OneTrust to scale this platform with confidence. You will shape how we validate integrated customer journeys, protect trust-critical data and workflows, and release reliable capabilities across a broad product portfolio. This role is for an experienced technical leaderwho can solve significant, unique problems requiring independent judgment, evaluation of intangible factors, and the creation of methods and procedures for specialized, high-stakes initiatives. Your Mission Quality Strategy for Trust-Critical Products Define automation architecture, quality strategy, and release-validation practices acro

SUMMARY STATEMENT We are looking for a Solution Architect to design the technical solutions behind our client engagements and give delivery teams a clear, workable path from concept to production. You will work across enterprise data, software applications and GenAI - translating complex business problems into practical architectures that delivery teams can build and scale. This could include architecting an agentic workflow for clinical operations, a conversational analytics product grounded in enterprise data, or an AI-enabled decision platform for commercial teams. You will work directly with clients, define the architecture, test the most important technical decisions yourself and establish the foundations for successful delivery. This is an architecture-first role with meaningful hands-on engineering: you will stay close enough to implementation to prove the architecture works and support it through production delivery, without becoming the primary engineer for every component. You will also help shape the reusable patterns, technical standards and accelerators behind Lynx’s growing AI-native life sciences practice. KEY RESPONSIBILITIES Solution Architecture Own the end-to-end solution architecture for client engagements, including data models, system design, integration patterns and technology choices. Translate business requirements into clear technical designs and implementation paths that delivery teams can build from. Design solutions spanning enterprise data, APIs, applications, cloud platforms and GenAI capabilities. Lead technical discovery with clients: understand requirements, assess existing systems and identify dependencies, constraints and delivery risks. Present architectural options and trade-offs clearly to technical teams, business stakeholders and senior leaders. Make pragmatic decisions across build speed, cost, scalability, security and maintainability. Review key implementation decisions and remain

Datadog Sales Engineers help qualify and close opportunities with customers and partners by providing technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various cross-functional teams to resolve customer concerns, escalate issues, advocate for customer needs, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we'd love to meet you! At Datadog, we place value in our office culture, the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Partner with the Customer Success team to articulate Datadog's value proposition, vision, and technical strategy throughout the sales cycle. Continually learn new technologies to build competitive knowledge, technical skill, and credibility Deliver value-driven product and technical presentations to Datadog customers Have a direct line of communication with the product team to collaborate on feature requests Help clients onboard the product and assist when they run into roadblocks Think creatively to solve a wide variety of technical challenges throughout the sales cycle Who You Are: Has 1 year or more of experience in a technical sales and/or post-sales role Has working knowledge of cloud infrastructure, modern application architectures, observability, and/or DevOps technologies Enjoys collaborating and teaming up with others Demonstrates strong written and oral communication skills Comfortable and confident in delivering technical presentations & demos Can multi-task, manage time well, and be responsive to others Curious, adaptable, and eager to continually learn and expand technica

Datadog Sales Engineers help qualify and close opportunities with customers and partners by providing technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). As a Sales Engineer 2, you will independently own technical engagements throughout the sales cycle, partnering closely with Customer Success Managers to align customer business objectives with Datadog's platform. You will also collaborate across Engineering, Support, Product, and various other cross-functional teams to resolve customer concerns, advocate for customer needs, and serve as a trusted technical advisor throughout the evaluation process. If you want to join a friendly, passionate team with limitless potential, we'd love to meet you! At Datadog, we place value in our office culture, the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Partner with the Customer Success team to articulate Datadog's value proposition, vision, and technical strategy throughout the sales cycle. Deliver tailored product demonstrations and technical presentations that map customer challenges to Datadog solutions. Assist with technical discovery by identifying customer business objectives, technical challenges, and success criteria. Own technical evaluations (POCs) from kickoff through successful completion, proactively driving customer engagement and removing technical blockers. Continually expand your expertise across Datadog's platform while building competitive knowledge and technical credibility. Develop trusted relationships with customer technical stakeholders, communicating business value to buying teams and helping position accounts for a successful long-term partnership that sets the stage for future growth. Contribute to team success by sharing best practices, mentoring newer Sales Engineers, and

MongoDB has a great opportunity for a Senior HR Business Partner for our Technical Services organization. HRBPs at MongoDB are responsible for helping business unit leaders and their leadership teams develop and implement a people and culture strategy that best supports their business needs. They act as coaches, trusted advisors, change agents, consultants and thought partners on all things talent within the business. They work closely with other teams within the People Team to perform their role and responsibilities – this includes Employee Experience, Compensation, Culture & Talent Development, Talent Acquisition, HR Operations and People Analytics. This Senior HRBP role is an opportunity for a strategic, commercially minded people leader to shape the talent and organizational agenda for a complex business. The role will partner closely with senior leaders to anticipate people needs, lead through change, translate data into clear recommendations, and build scalable solutions that enable the business to grow. Alongside this strategic partnership, the Senior HRBP will lead critical talent moments, including performance, engagement, succession, and compensation cycles, ensuring they drive meaningful business and people outcomes. We’re open to candidates across North America’s Eastern and Central Time Zones and are flexible on location for the right candidate. Key Responsibilities Builds relationships with leaders to offer thought leadership on organizational and people-related strategy and execution Adopts the culture of the organization and embodies our values and leadership principles Develops a commercial understanding of the business to appropriately guide and influence leaders on their talent agenda Applies expertise in the following areas: organizational design, workforce planning, change management, performance management, career planning, coaching, analysis of people data, compensation (cash and equity), complex employee relations issues, learning and dev

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for a principal software engineer to lead the next generation of data infrastructure at Pinterest which powers mission critical big data and AI applications. You’ll be working on some of the most exciting big data and AI open source technologies (Flink, Spark, Kubernetes, etc.), at the scale of exabytes of data to help Pinners discover and do what they love. What you’ll do: Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including compute engines, job management, resource management, scheduling and remote shuffling Work with internal customers on critical business use cases that rely on big data Provide thought leadership to the entire company on how data should be

About the Team The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate. About the Role We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex) , leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights. Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeat

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal builds AI infrastructure products that developers love. That's how we grew so quickly and why word-of-mouth remains one of our most important channels today. From powering one of the largest vibe-coding platforms at Lovable to enabling teams like Ramp to build their own internal coding agents , Modal Sandboxes are used by developers to safely execute AI-generated code at scale. We're now hiring our first developer relations engineer focused on Modal Sandboxes. Whether it’s banger tweets , in-depth technical resources or long-form talks , we want to meet developers by any medium necessary and empower them to build and ship novel AI products. In this role, you will primarily be creating and distributing technical content that is unique, educational, and practical. This content will be the first Modal touchpoint for many of our users. We want to not only showcas

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We are the Data Foundation & AI team within Plaid’s Data organization. Our mission is to build the shared ML and AI infrastructure that powers intelligent capabilities across Plaid’s product suite. We develop the foundational systems, models, and data assets that transform Plaid’s unique financial network data into scalable, general-purpose representations that teams across the company can leverage. Our work spans the full ML lifecycle — from large-scale data curation and model pretraining to production serving, evaluation, and monitoring. As part of the team, you’ll work at the intersection of machine learning infrastructure, applied AI, and distributed systems, helping establish the core AI platform that enables innovation across Plaid. As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across pretraining objectives, model architecture, and fine-tuning approaches that power a wide range of downstream product applications. You will serve as the technical lead for the full machine learning lifecycle, overseeing everything from data curation and experimentation to production deployment, feature management,

As a Director, Enterprise Sales Engineering, you will lead a team of frontline leaders, driving account strategy, deal execution, operational excellence, and team development across your region. This is a strategic leadership role with regional impact within North America. You will act as a force multiplier by owning team and region performance, shaping execution standards, and partnering closely with Sales leadership to influence go to market strategy, improve outcomes, and scale impact beyond individual deals. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team. Develop and operationalize a repeatable formula and methodology that can scale across a large customer base, enabling Datadog to accelerate enterprise growth by illustrating to customers how Datadog’s observability and security solutions quickly, simply, and efficiently deliver measurable business outcomes especially in a world increasingly dominated by Agentic AI. Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities. Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression. Lead, coach, and develop a team of Sales Engineering leaders, driving performance, engagement, and long-term career growth through regular feedback and structured development. Hire and onboard top talent across ICs and manager-lev

Datadog Sales Engineers help qualify and close opportunities with customers and partners by providing technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). As a Commercial Sales Engineer 2, you will independently own technical engagements throughout the sales cycle, partnering closely with Account Executives to align customer business objectives with Datadog's platform. You will also collaborate across Engineering, Support, Product, and Customer Success to resolve customer concerns, advocate for customer needs, and serve as a trusted technical advisor throughout the evaluation process. If you want to join a friendly, passionate team with limitless potential, we'd love to meet you! At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Partner with the sales team to articulate Datadog's value proposition, vision, and technical strategy throughout the sales cycle. Deliver tailored product demonstrations and technical presentations that map customer challenges to Datadog solutions. Assist with technical discovery by identifying customer business objectives, technical challenges, and success criteria. Own technical evaluations (POCs) from kickoff through successful completion, proactively driving customer engagement and removing technical blockers. Continually expand your expertise across Datadog's platform while building competitive knowledge and technical credibility. Develop trusted relationships with customer technical stakeholders while effectively communicating business value to broader buying teams. Contribute to team success by sharing best practices, mentoring newer Sales Engineers, and supporting enablement initiatives. Think creatively to solve a wide variety of tech