Lead Technical Services Engineer Weekend Shift in New York

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Senior Manager, Platform Engineering / DevOps Who Are You You are an experienced Senior Manager / emerging Staff-level leader in DevOps and Platform Engineering with strong technical depth and demonstrated leadership in delivering enterprise-scale cloud platforms. You bring a balanced mix of hands-on engineering expertise, team leadership, and execution rigor. You excel in driving outcomes in complex, multi-stakeholder environments, guiding teams to deliver secure, scalable, and high-quality platform solutions. You are comfortable leading engineers, managing stakeholders, and owning delivery across multiple workstreams. You demonstrate: A strong ownership mindset with accountability for delivery and outcomes Ability to translate business needs into actionable engineering roadmaps Solid expertise in cloud-native platforms, DevOps practices, and SRE principles Capability to lead teams and influence without requiring extensive tenure Role Responsibilities Development & Enforcement Own and execute the H100 platform engineering roadmap, aligned to enterprise priorities and program milestones Drive delivery of GCP-based platform capabilities (GKE, networking, IAM, CI/CD, observability) Establish and enforce engineering standards, best practices, and ADR compliance</li

About OpenAI OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We build models and products that help people learn, create, and solve problems—and we work to do so safely and responsibly. About the Team OpenAI’s products are talked about by people, not just press and pundits. More than 900 million people use our tools each week, learning from one other and passing along what works. Their stories shape our reputation and encourage others to try our products. Our community team builds direct relationships & channels with people who use our tech then amplifies their stories and use cases so peers can learn from them and channels their insights to our product and research teams. About the Role We are seeking an exceptional Technical Community Program Manager to help manage and scale a high-signal community of advanced ChatGPT Pro users. This is a hands-on, technically fluent role at the intersection of community-building, product enablement, user research, product education, and editorial storytelling. You do not need to be a full-time software engineer, but you should be comfortable understanding technical workflows, asking sharp technical questions, using the latest AI tools, and helping advanced users explain what they are building. You will report to the Head of Pro Subscriber Community and will be based in New York City. In this role, you will: Run and grow a high-signal community Help manage and deepen engagement with the ChatGPT Pro cohort of advanced users across disciplines Design and execute high-touch community programming, including product demos, office hours, show-and-tell sessions, peer-learning formats, and in-person events Build repeatable systems for onboarding, engagement, retention, and member communications Build deep relationships with exceptional users Identify, recruit, and onboard new individuals doing high-impact work with ChatGPT and Codex Conduct in-depth interviews and maintain ongoing r

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in NYC. We use a hy

Become a part of our caring community You have shipped AI products before. You understand the difference between a demo and a production system. You have strong opinions about evaluation frameworks because you have experienced the consequences of operating without them. You are at your best when you own architecture decisions while continuing to build and deliver critical code yourself. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to source documents, and route complex cases to human experts. The output of these systems supports healthcare decisions that impact real members. As a Lead AI Applied Engineer, you will provide technical leadership for AI-enabled products and platforms, define architectural direction, establish engineering standards, and personally design and build the most critical components of our systems. You will lead through both technical expertise and execution, helping the team deliver reliable, scalable, and auditable AI solutions in a highly regulated healthcare environment. Why Join Us Lead the architecture of production AI systems where LLMs are foundational to the product experience. Make key technical decisions regarding model selection, system boundaries, platform architecture, and build-versus-buy strategies. Own the highest-risk and highest-impact technical challenges involving reliability, explainability, and correctness. Influence engineering culture and establish standards that shape how the team builds and ships AI products. Work on systems operating at meaningful scale, processing millions of documents and supporting healthcare decisions across a large member population. Partner

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. The Director, Technical Recruiting will lead CLEAR’s technical recruiting strategy and team, partnering closely with our CTO and senior technology leaders to translate business priorities and workforce plans into an effective talent strategy. You’ll lead and develop a high-performing team of Technical Recruiters while using data, market intelligence, and recruiting expertise to attract exceptional talent and deliver against CLEAR’s most critical technical hiring needs. What you'll do: Lead CLEAR’s technical recruiting strategy and team, ensuring hiring priorities, resources, and recruiting efforts are aligned to the needs of the business Partner with the CTO and senior technology leaders to understand organizational priorities, anticipate talent needs, and develop strategic hiring plans Coach, develop, and lead a high-performing team of Technical Recruiters, establishing clear expectations and raising the bar for recruiting execution and candidate experience Leverage recruiting data, talent market intelligence, and business insights to influence hiring strategies, identify opportunities, and advise leaders on how to attract and hire exceptional technical talent Build trusted relationships across Technology and the People team while continuously improving recruiting processes, practices, and approaches to deliver against evolving business needs How you'll measure success: Achievement of technical hiring plans across priority roles and teams Quality of hire, offer acceptance, and candidate experience Recruiting efficiency, including time

Datadog is expanding the Technical Solutions (TS) organization by seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture (PSA) team. In this role, you will act as a technical multiplier for the world's leading AI labs and AI-native companies. You will bridge the gap between their bleeding-edge infrastructure aspirations and Datadog’s technology roadmap, ensuring our platform natively solves the unique observability challenges of training and deploying foundational models at scale. 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: Leadership : Demonstrate thought leadership in the AI/LLM space. Influence key decision makers and stakeholders by connecting technical capabilities to organizational and business impact. Advisory : Strategically partner with highly technical Founders, Heads of Infrastructure, and Research Lead peers. Guide them on best practices and emerging industry trends in the AI/LLM space. Lead high-level technical and architectural conversations around AI adoption. Presentations : Lead deep-dive architecture reviews and design engagements with customer teams and their leaders to share industry trends, best practices, and demonstrate how Datadog can support high-throughput hyper scale AI workloads. GTM : Identify emerging AI-native technology shifts and feed them directly back to Datadog Product Management. Co-create custom observability integrations and solutions alongside Product SAs to keep Datadog at the absolute forefront of the AI stack. Collaboration : Collaborate with Product Solutions Architecture (PSA), Sales, Sales Engineering and Marketing in providing high-quality technical resources to a broad audience of practitioners and economic buyers. Hiring : Assis

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. We are looking for a Senior Solution Engineer who thrives at the intersection of data, AI, and complex enterprise architecture. In this role you will work directly with the sales team and channel partners to understand the data challenges of our customers, strategize on how to navigate winning sales cycles, deliver compelling data-driven demonstrations, and support enterprise Proof of Concepts that showcase measurable business outcomes. As a Snowflake Solution Engineer you must share our passion for transforming how organizations use data — from raw ingestion to real-time analytics to AI-powered applications. You thrive in a dynamic environment, are equally comfortable whiteboarding a medallion architecture with a data engineering team and presenting data ROI to a C-suite, and you bring deep opinions about what good data platform design looks like. IN THIS ROLE YOU WILL GET TO: Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders at prospects and customers Lead hands-on technical discovery to map a customer's existing data architecture — pipelines, warehouses, lakehouses, governance gaps — and design a Snowflake-native path forward Build and deliver tailored demos and proof of concepts across Snowfla

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We are seeking a technical, data-driven Product Management leader to own CLEAR's Marketing Technology platform. This role is responsible for the systems, data, and measurement capabilities that power member acquisition from first touch through enrollment. You will own CLEAR's MarTech ecosystem, including attribution and tracking, audience data infrastructure, CRM and lifecycle marketing platforms, and the integrations that connect marketing signals to actionable insights. Partnering closely with Marketing, Engineering, and Data teams, you'll ensure CLEAR has the tools and intelligence needed to scale growth across paid, organic, and partner channels. What You'll Do: Own the vision, roadmap, and performance of CLEAR's MarTech ecosystem, including CRM, audience activation, tracking, attribution, and marketing data infrastructure. Build best-in-class measurement capabilities across paid, organic, and partner channels, creating a trusted source of truth for acquisition performance. Partner with Marketing to improve audience targeting, lifecycle messaging, SEO/SEM performance, and channel optimization. Drive strategy for audience segmentation, activation, suppression, and first-party data utilization using platforms such as Snowflake and Hightouch. Own the digital enrollment experience, ensuring it is optimized for conversion, personalization, and growth. Define success metrics, manage vendor relationships, and prioritize investments that maximize marketing effectiveness and ROI. What We're Looking For: 8+ years of Product Management experie

The Technical Solutions (TS) Enablement team empowers Datadog's global post-sales organization—including Support, Customer Success, and Sales Engineering—with the skills, tools, and resources they need to deliver world-class customer outcomes. As a Senior TS Enablement Program Manager supporting Sales Engineering , you'll own the design and execution of complex, high-visibility enablement programs that drive lasting change across the TS organization. You'll operate with significant autonomy, lead cross-functional initiatives, and serve as a senior voice within the Enablement team—partnering closely with leadership to translate business priorities into measurable enablement impact at scale. 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 the end-to-end strategy and execution for complex, global enablement programs—managing multiple concurrent workstreams across regions, functions, and timelines with limited guidance. Lead cross-functional stakeholder relationships with senior partners across StratOps, Product, TS Leadership, and the People Team—negotiating scope, aligning on priorities, and driving accountability without positional authority. Translate business goals and OKRs into multi-quarter program roadmaps; communicate priorities, trade-offs, and progress to leadership with clarity and a clear point of view. Design and implement comprehensive metrics frameworks to measure change adoption and program effectiveness; pull and analyze Salesforce and LMS data to track performance against KPIs; present findings to senior stakeholders and iterate for lasting impact. Build and deliver executive-ready materials that tell a compelling business story—translating complex data, program updates, and regional insights into structured narratives with clear

As Lead of Web Content Engineering & AI Visibility on Datadog’s Web Experience team, you will own how we use our content management system (CMS), build and maintain the pages across datadoghq.com, and improve the technical SEO and AI discoverability that help those pages get found and cited. You will partner across Marketing, UX, and Engineering to turn content into effective web experiences and bring discoverability insights into planning and prioritization. You will also use AI, agents, and automation to shorten the path from recommendation to published page and make reporting and insights more accessible to stakeholders. This role offers the opportunity to shape how Datadog evolves its web presence as search and AI-driven discovery continue to change. 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: Build and maintain product, pricing, solutions, careers, about, and other pages across Datadog’s web properties, partnering with Engineering to support CMS templates, components, permissions, and workflows Partner with Content, Product Marketing, and UX to prioritize web work, structure content for the web, and ensure requests have the scope and lead time needed for high-quality execution Own technical SEO and AI discoverability across Datadog’s web properties, including structured data, heading structure, internal linking, metadata, crawlability, and how AI answer engines interpret and cite pages Establish consistent structural standards across owned web properties and monitor site health to identify and address issues Use AI, agents, and automation to streamline the path from recommendation to published experience and deliver dashboards and insights with less manual effort Who You Are: Experienced building and maintaining web pages in a modern CMS suc

Salary range: $300k - $350k | Equity: 0.4% - 0.6% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for an engineering lead to guide our team while staying hands-on in the code. You'll set the technical direction and standards for how we build the interfaces, tools, and infrastructure behind our OCR, extraction, and document-understanding systems. This includes everything from optimizing agent loops and interfaces to helping to speed up inference. This is a player-coach role. You'll manage and grow a team of three engineers, own engineering delivery and quality, and spend a large share of your time writing code - focused on architecture, infrastructure, and the hard problems rather than routine feature work. You’ll partner closely with the research team to define the handoff between experimentation and production. As a small and fast-moving team, roles are fluid and ownership is high. You'll work directly with the founder to set priorities, ship features, and make our technology accessible to a global community of builders. Day to day, you will: Manage and grow a team of three engineers - 1:1s, prioritization, feedback, and hiring as we scale. Own engineering delivery, quality, and technical standards across code, testing, infrastruct

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: Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. What you'll do: Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spik

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: We’re looking for a Technical Enablement Manager to own the end-to-end learning, knowledge, and training experience for Notion’s global customer experience (CX) teams—spanning onboarding, change management, and continuous learning. This is an opportunity to build, lead and innovate on programs that ensure customer-facing support teams have the knowledge, skills and processes they need to consistently deliver high-quality support experiences to Notion customers. You’ll set the enablement strategy, partnering closely with CX leadership and cross-functional partners to identify skill, knowledge and process gaps, and translate those needs into durable enablement solutions—content, workflows, and programs. This role is based in New York City, USA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Own end-to-end CX enablement for a business vertical: define learning outcomes, readiness expectations, and content strategy across

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: We're hiring a Compute Strategy and Operations lead to own how Modal plans for and acquires GPU and CPU capacity. You'll size our infrastructure needs ahead of demand, source supply across hyperscalers, neoclouds, and datacenter operators, and negotiate and close the contracts to secure it. The compute you secure directly determines what Modal can sell and build. In this role, you will: Own end-to-end procurement of GPU and CPU capacity across hyperscalers, neoclouds, and datacenter operators Build and maintain a strong pipeline of supplier relationships Evaluate supply options on price, availability, hardware specs, networking capabilities, and SLA terms Negotiate and close contracts: reserved capacity agreements, spot arrangements, MSAs, DPAs, and order forms Work closely with our engineering teams to translate technical requirements into procurement specs Track

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. Role Overview At Snowflake, we are powering the era of the agentic enterprise. We are looking for AI-native builders and operators who use AI as a core part of how they think, learn, and execute. The Startup Business Development Lead will be a key member of the Snowflake for Startups team, responsible for identifying, engaging, and growing relationships with the most strategic AI-native startups. This person will work across Sales, Product, Marketing, AI Partnerships, Ventures, and Solutions Engineering to help high-potential startups build with Snowflake and accelerate adoption of Snowflake AI. This role requires a rare combination of startup ecosystem credibility, business development judgment, and practical understanding of modern AI application architectures. The ideal candidate can engage founders on both business value and technical direction, and can translate Snowflake’s AI platform into compelling growth opportunities for startup partners. This is an individual contributor role and will be accountable for building a high-quality pipeline of AI-native startup opportunities, increasing activation and adoption of Snowflake AI products, and driving long-term consumption growth from strategic startup partners. Key Responsibilities Build and grow relationships with high-