Lead Full Stack Builder Manager Jobs

Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds the foundations for agentic systems capable of operating at scale in complex production environments. Current bets span agents that run autonomously at scale, context and memory layers that make those agents more intelligent over time, and tools that help customers build and validate AI-native services in production. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists focused on building the foundations for agents operating at scale Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality Navigate the unique challenges of shipping AI-powered products: balancing quali

Plative is hiring Account Managers (AMs) to take ownership of our existing client portfolio and drive growth through renewals, expansions, and transitions from “Transform” (project-based work) to “Innovate” (managed services and phase 2 programs). This role is critical to maintaining strong year-over-year renewal performance and ensuring clients receive proactive account leadership. You will partner closely with our Associate Directors (ADs), who focus on delivery, and Client Partners (CPs), who focus on new logo acquisition, to ensure no customer falls through the cracks. Key Responsibilities: Account Ownership & Growth Serve as the commercial owner of 20–40 Tier 1 & 2 accounts across NetSuite practices. Develop and execute 90-day and greater renewal plans for all renewable clients; own renewal negotiation and close. Lead transform-to-innovate transitions, ensuring 70%+ utilized accounts are converted to longer-term managed services. Create and maintain quarterly account plans, including whitespace mapping, stakeholder multi-threading, and alliance engagement with NetSuite teams. Drive upsell and cross-sell opportunities across Plative’s Salesforce, NetSuite, Data, and AI capabilities. Client Relationship Management Build and maintain executive-level relationships at key accounts; act as the trusted advisor. Schedule and lead quarterly business reviews (QBRs) and regular onsite visits for Tier 1 accounts. Ensure accounts are properly tiered per Plative’s Account Management Framework and adjust quarterly. Partner with ADs to ensure delivery health and customer satisfaction align with renewal and growth objectives. Internal Collaboration & Governance Operate in a two-in-a-box model with Delivery Directors: AM: Growth, renewals, commercial strategy. Delivery Director: Delivery, execution, and escalations. Collaborate with CPs during account handover (30–90 days post-first project sale). Maintain CRM hygiene, renewal forecasts, and account reporting with ac

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About The Role: We are looking for a Senior Forward-Deployed Engineer to join our Professional Services team. This role is focused on working directly alongside developer teams in our most strategic enterprise customers to drive transformational outcomes across frontend modernization, platform migrations, and AI adoption. In this role, you will lead complex Next.js migrations, architect high-performance applications, and build production AI solutions - all within customer environments. You'll work hands-on-keyboard alongside customer teams, whether you're migrating a legacy React application to App Router, conducting a deep-dive code audit, or deploying production agents using Vercel's eve framework and AI SDK. Our Forward-Deployed Engineers operate with high agency and autonomy. You'll navigate ambiguous enterprise environments, assess technical debt, design migration strategies, and deliver measurable business value - all while building long-term relationships that expand our partnership with each customer. There are two main profiles for this role: Next.js experts, and AI builders. Next.js experts work on deep customer code optimization, performance audits, AEO and SEO, and teaching customers how to build Next.js apps with AI instrumentation - such as Claude Code, Codex, Cursor, etc with Next.js and Vercel agent skills. The AI builder profile is less focused on deep Next.js experience, and more on identifying, evangelizing, and building AI applications and agentic workflows. Your job in this role will be to understand customers’ b

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for signal integrity (SI) system design engineers who have a deep expertise in the SI area, and hold strong system level design knowledge 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: Lead system signal integrity (SI) design for AI supercomputer product in the data center application. Collaborate with chip, package, boards, rack and system engineers, design partners to drive system SI design and develop innovative interconnect and high-speed technologies Identify and evaluate new technologies and methodologies to improve signal and power integrity in product design, and contribute to the development of new products and technology by providing expertise in signal integrity Perform simulation and modeling to identify and troubleshoot signal integrity issues Lead system interconnect design, bring up and qualification As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings. You might thrive in this role if you: Have at least 10 years of industry experience, including experience design hardware system and SerDes testing for data center applications Have a strong bias toward action, and won’t take no for an answer. Have experience and good knowledge of system design experience in the SI areas, from chip, SerDes, board, rack level Have ex

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team You will be joining Stripe’s ML Foundations and Gen AI team to incubate new ML applications and improve our ML capabilities across Stripe. Our team is responsible for unlocking novel ML and LLM techniques and applications across Stripe’s product suite to drive business outcomes, as well as providing infrastructure, tooling and support for ML teams. What you’ll do As a senior product leader, you will lead a cross-functional team to define, incubate and scale new ML/AI applications across Stripe’s product suite, and drive our strategy and roadmap for ML/AI infrastructure powering all of Stripe’s teams. You will work closely with product leaders across business units to define and deliver on an AI-centric product strategy, launching new applications that drive incremental business outcomes. At the same time, you will be advancing our core AI technology stack to empower teams across Stripe to infuse their scenarios with Agents and agentic capabilities, with API support for agent quality and continuous improvement. Responsibilities Develop and execute on the Stripe-wide strategy for new ML/AI applications across our product suite Evaluate and align on areas of investment for ML/AI applications in collaboration with product leaders across the company Work with cross-functional teams to execute on the roadmap and launch successful new ML/AI applications Communicate clearly and crisply with leadership stakeholders and drive alignment acr

Technical Support Manager About the role: We are looking for a technically skilled, self-motivated, customer-focused manager to lead a team of high energy Support Engineers. In this role you will be responsible for hiring, developing and mentoring team members as well as delivering against key performance metrics. You'll lead process improvements for customer and partner growth, retention, and excellence, while fostering individual contributions and driving cross-functional projects that spark innovation and collaboration. You need to be comfortable working in a fast paced environment and continuously challenge the team to step outside their comfort zone. Minimum Education Requirement This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone. What You Will Be Doing Become a product expert and stay technically close to complex and critical customer escalations. Lead a team of exceptional product experts providing the Sigma user base with an excellent customer experience. Hire, develop and train a strong team of Support Engineers on an ongoing basis. Own strategic areas of the Support organization end to end, from strategy through measurable outcomes. Partner across Engineering, Product, Customer Success, Sales, and Marketing to solve customer challenges and drive cross-functional outcomes. Drive performance against key Support metrics, including CSAT, Initial Response, SLA, and Time to Resolution. Continuously refine processes to optimize efficiency, elevating customer support operations. Uncover golden insights within Support data, translating them into actionable strategies that improve customer experience, operational efficiency, and business outcomes. Develop a reputation for excellence, high credibility and integrity with

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Threat Intelligence Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact. This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function. Responsibilities: Build automated detection systems that use disparate signals to identify abusive behavior. Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure Establish feedback loops with investigators to tune detection systems and reduce false positives Scrape and normalize data from external sources to feed threat detection and enrichment workflows You may be a good

Location: Remote with ~40% domestic and international travel Shape the future of cancer care as a Medical Director, Skin/IO at Natera. In this strategic leadership role, you will provide medical expertise and scientific leadership across Natera’s oncology portfolio, with a focus on melanoma, cutaneous malignancies, and immunotherapy applications across solid tumors. You will collaborate with cross-functional teams in research, development, medical affairs, and commercial functions to ensure the scientific integrity and clinical adoption of Natera’s oncology testing solutions. Primary Responsibilities: Clinical Adoption: Lead the clinical strategy and evidence generation for melanoma, non-melanoma skin cancers, and pan-tumor immunotherapy indications. Partner closely with clinical development, medical affairs, and commercial teams to translate emerging evidence into meaningful clinical practice applications. Collaborate with key opinion leaders (KOLs), cooperative groups, and academic investigators to validate and expand clinical use cases for ctDNA-based diagnostics in immuno-oncology. Provide field-facing education and strategic guidance to healthcare providers, payers, and advocacy organizations on clinical utility, interpretation, and impact of MRD and response monitoring in immune-treated populations. Identify and address barriers to adoption by aligning evidence generation, messaging, and stakeholder engagement with evolving standards of care and health system needs. Medical Education and Communication: Serve as the medical and scientific spokesperson for skin and immuno-oncology programs, communicating clinical utility, study data, and product value to external experts and stakeholders. Partner with commercial teams to develop educational resources, medical content, and scientific training for healthcare providers and internal teams. Provide scientific leadership during advisory boards, symposia, and investigator meetings. Representation and Advocacy: Re

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team We're experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We're experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data. What you'll do We're looking for a person who drives the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate is someone who has built data pipelines for large-scale volume, is deeply knowledgeable of Data Engineering tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. • Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success • Partner with our recruiting team to attract and hire top talent. • Deliver cutting-edg

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

The Senior CX Manager plays a critical role as a senior technical advisor and strategic partner to Talkdesk’s largest and most complex customers . This role drives measurable business outcomes by leading advanced product adoption, overseeing complex technical initiatives, and ensuring long-term customer success through strategic enablement, and change management. The Senior CX Manager serves as the bridge between customer stakeholders (technical and business) and Talkdesk’s internal teams to ensure alignment on key business objectives and successful product utilization. In addition to typical customer technical guidance, you will also assume key Customer Relationship Management (CRM) responsibilities to ensure the long-term health and success of our customers. This unique hybrid role is for a proactive professional who excels at solving complex technical challenges while also fostering strong, lasting customer relationships. Key Responsibilities Enterprise Technical Enablement & Delivery Leadership Serve as the primary senior technical point of contact for enterprise and strategic accounts. Lead complex onboarding, platform optimization, and advanced feature deployments across multi-product environments. Define solution scope, delivery approach, and technical roadmap in partnership with customer project managers and internal teams. Translate customer business and operational needs into scalable technical architectures and implementation plans. Drive use case strategy, feature adoption, and innovation roadmaps aligned to customer goals and Talkdesk product direction. Conduct advanced demos and enablement sessions showcasing feature enhancements and new capabilities. Establish and disseminate technical best practices across customers and internal teams. Customer Success, Program Ownership & Risk Management Build and maintain trusted relationships with senior executive and operational stakeholders . Support executive business reviews focused on ROI,

MongoDB’s Marketing Technology team is looking for a Senior Manager, Martech Transformation to support the implementation and ongoing optimization of our Adobe technology ecosystem. This is a senior individual contributor role with program management ownership, focused on driving the adoption, configuration, and integration of Adobe solutions across MongoDB’s marketing organization. The ideal candidate brings deep hands-on expertise with Adobe enterprise products, a strong product mindset, and the ability to operate as a strategic partner to marketing, IT, and analytics teams. You’ll serve as the internal subject matter expert on Adobe, owning the roadmap for implementation, governance, and continuous improvement across the suite. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Main Responsibilities Lead the implementation, configuration, and rollout of Adobe suite products across Marketing, including parts of AEM, Marketo Engage, Workfront, CJA, RTCDP, etc Act as the primary program manager for Adobe initiatives: defining project scope, timelines, stakeholder alignment, and delivery milestones Partner with Campaign Operations, Architects, Platform owners, IT, and Engineering to integrate Adobe products into the broader MarTech ecosystem Translate marketing requirements into scalable technical configurations and workflows across Adobe products Establish governance frameworks, documentation standards, and change management processes for the Adobe practice Evaluate and recommend new Adobe capabilities and integrations that align with MongoDB's marketing strategy Serve as the internal expert and go-to consultant on Adobe products. Enabling teams to maximize platform value Support vendor relationship management with Adobe, including license governance and product roadmap alignment Requirements 7+ years of experience in marketing technology, marketing operations, or enterprise platform implementation roles Hands-on expe

Perplexity is revolutionizing how companies get work done. We are seeking a Senior Manager, Executive Communications to join our team and serve as a strategic partner to our leadership. You will architect and amplify the voices of our executives to inspire our rapidly growing team. If you have a passion for shaping culture through communication, thrive in bridging the gap between leadership vision and employee engagement, and want to build a world-class communications function from 0 to 1, this role is for you. Responsibilities Create exceptional and strategic executive communications, including stage speeches, leadership emails, board decks, and other formats that require excellent writing and critical thinking to articulate the company vision and strategy. Lead Perplexity's next phases of growth, managing complex information flow during high-growth, evolving and owning all-hands presentations, Slack communications, and more. Develop a unique and authentic voice for our executives and company leaders internally and externally. Synthesize complex AI-related topics and business strategies into clear narratives internally and externally. Partner closely with all teams to lead change management communications, translating complex organizational updates into simple and compelling messages. Qualifications 7+ years of experience in executive communications, ideally within a high-growth technology company or leading communication agency.​ Proven track record of supporting senior executives and managing complex change management initiatives.​ World-class writing, editing, and storytelling skills with the ability to capture different executive tones.​ Deep familiarity with the rules with an interest in breaking them. Attention to detail and the ability to execute quickly in a fast-paced environment.​ Extreme comfort working with senior executives, principled confrontation, and inspiring audiences in multiple formats and contexts.

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI , LLMObs and all our AI research . As an engineering manager for the Training & Serving team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: distributed training of foundation models, serving at scale, designing the user experience. You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. 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: Manage and grow the Training & Serving team, directly managing 10+ engineers Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. Work with our core platform teams to tailor Datadog's storage, infrastructure and data pipelines to our needs Create a strong team culture aligned with our engineering standards and our customer focus Participate in hands-on work: Code reviews, design reviews and some coding Who You Are: Previous experience (1+ years) leading software engineering teams, as a tech lead or people manager Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader Excellent leader with strong