Documentation Architect in New York

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 considers high-quality documentation to be essential for developer experience, and we see docs becoming even more important as agents increasingly deploy and operate Modal Apps. We are looking for a content-minded engineer who will partner with our product teams to curate Modal’s technical documentation and maintain a high quality bar across multiple dimensions. Responsibilities: Thinking holistically about content architecture and how the docs should evolve as Modal introduces new products and features Innovating on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with our Agent DX research team Developing content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality Building and maintaining automated pipelines that will enforce the correctness of code examp

Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Lead the technical design and architecture of major platform initiatives, author design documents and build consensus across engineering teams. Define technical roadmaps for complex, multi-quarter projects that span multiple teams. Make critical architectural decisions for company documentation infrastructure, balancing scalability, reliability, and developer experience. Evaluate and set direction for integrating emerging technologies, including AI/LLM capabilities, into company documentation platforms and authoring tools. Establish and evolve engineering standards, best practices and technical guidelines for the team and broader organization. Partner with engineering teams across the company to understand documentation needs and design integrated solutions. Design, build and maintain scalable, reliable and performant services and systems. Contribute high-quality code across the full stack and navigate codebases with different languages and tools. Debug and resolve complex production issues and improve system reliability. Take ownership of system health and incident response. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Engineering, or a related field, plus four (4) years of experience in Software Engineering. Must have four (4) years of experience in each of the following: - Working in a full stack environment with a foc

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’re looking for a strategic and execution-oriented Senior Director, Revenue Operations to lead and scale the operational backbone of our B2B organization. Sitting within B2B Operations, this role will own the strategy, architecture, and optimization of our revenue systems, processes, and analytics across Sales, Customer Success, and Marketing. You will serve as a key partner to B2B leadership, driving operational rigor, scalable infrastructure, and data-driven decision-making to accelerate revenue growth. You will define the roadmap for revenue systems, lead cross-functional initiatives, and build the foundation for long-term scale. What you'll do: Define and execute the B2B Revenue Operations roadmap in alignment with C1 growth objectives Act as a strategic partner to B2B leadership on forecasting, pipeline health, performance metrics, and operational investments. Establish scalable processes that improve conversion, velocity, forecasting accuracy, and revenue predictability at scale. Lead the redesign of Salesforce to support complex B2B sales motions, with hands-on responsibility for system configuration, reports, and dashboards Architect and optimize the full revenue tech stack (Salesforce, Outreach, ZoomInfo, HubSpot, Gong, LinkedIn Sales Navigator, etc.) Maintain data quality (deduplication, enrichment, normalization), build and evolve reporting frameworks, and troubleshoot integration issues across the revenue tech stack when they arise. Create and maintain internal documentation, runbooks, and training materials; support enabl

The Team We are Datadog’s in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential partners and ensuring that our integration ecosystem is high-performing, secure, and valuable. Partner Technology Solutions Engineers (TSEs) are the technical bridge between Datadog and our third-party developer community. We act as consultants, helping partners build world-class monitoring solutions on the Integration Developer Platform (IDP) . The Opportunity Datadog is looking for a Partner Technology Solutions Engineer to join our fast-paced team. You will be the primary technical contact for our partners, guiding them through the entire integration lifecycle—from initial architectural design to final publication on the Datadog Marketplace. This is a unique role that combines deep technical troubleshooting with high-level consulting and platform advocacy. You will work directly with external developers and see your contributions immediately reflected in the Datadog ecosystem. You Will Act as the technical lead for partners, advising on OAuth flows, log pipelines, OpenTelemetry, and agent-based vs. API-based configurations Perform architectural assessments and deep-dive code reviews for partner integrations in the integrations-extras and marketplace repositories, ensuring they meet our Quality Rubric Solve complex technical challenges for partners via Zendesk, Slack, and dedicated technical consultations Identify friction points in our Integration Developer Platform (IDP) and partner with our internal Product and Engineering teams to build a better developer experience Maintain public-facing developer documentation and internal tracking systems ( JIRA ) to ensure transparency and scale You Are A technical expert with 3+ years of experience in a technical role (Support Engineering, Solutions Architecture, or Software Development) Proficient in at least one language (Python or Go preferred) An observability enthusiast who unders

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. As a Sales Engineer II, you will be responsible for ensuring our customers successfully integrate with the CLEAR1 platform, with a focus on our Healthcare vertical. You will work across the Growth, Product, and Engineering teams to develop a deep understanding of the problems our customers are facing and influence how we’re building our platform for scale. We’re looking for a candidate with an excellent technical background who is looking to have a direct impact on customer and developer experiences. What you'll do: Lead presales customer engagements, including technical discovery, product demos, use case demos, RFPs, solution and integration scoping, and proof-of-concepts Drive customer integration for enterprise-level customers including building reference applications, prototypes, and architecture diagrams Develop code samples, integrations, and applications to demonstrate best practices and minimize customer development time, across a variety of languages and frameworks Support customers throughout the presales, proof of concept, and integration processes, assisting with common coding issues and patterns or troubleshooting Creating and maintaining public and internal documentation to help scale the team Act as the internal and external expert in the integration and usage of the CLEAR identity platform Collaborate across Sales, Product and Engineering to ensure that CLEAR strategically incorporates customer feedback and new product features into our roadmap Stay up-to-date with the latest trends and developments in the Healthc

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’re looking for an experienced Software Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Software Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: Java / Kafka / Postgres AWS cloud What you'll do: Advance our capabilities across a wide array of industries and domains and gain hands-on experience with privacy, security, data modeling and architecture Develop and deliver code across the full stack, driving engineering excellence by defining to best practices in testing, documentation and observability Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you’re great at: 3+ years of backend software development experience in Java Working with cloud-based application development, and being fluent in at least a few of: Cloud service providers like AWS Containerization technologies like Docker and Kubernetes Collaboration, integration, and deployment tools like Github, Argo, and Jenkins Arti

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. As a Solutions Engineer, you will be responsible for ensuring our customers successfully integrate with the CLEAR1 platform, with a focus on our Healthcare vertical. You will work across the Growth, Product, and Engineering teams to develop a deep understanding of the problems our customers are facing and influence how we’re building our platform for scale. We’re looking for a candidate with an excellent technical background who is looking to have a direct impact on customer and developer experiences. What you'll do: Lead presales customer engagements, including technical discovery, product demos, use case demos, RFPs, solution and integration scoping, and proof-of-concepts Drive customer integration for enterprise-level customers including building reference applications, prototypes, and architecture diagrams Develop code samples, integrations, and applications to demonstrate best practices and minimize customer development time, across a variety of languages and frameworks Support customers throughout the presales, proof of concept, and integration processes, assisting with common coding issues and patterns or troubleshooting Creating and maintaining public and internal documentation to help scale the team Act as the internal and external expert in the integration and usage of the CLEAR identity platform Collaborate across Sales, Product and Engineering to ensure that CLEAR strategically incorporates customer feedback and new product features into our roadmap Stay up-to-date with the latest trends and developments in the Health

About the Team OpenAI’s API Platform organization builds the products and infrastructure that help first-party and third-party developers build with OpenAI models. We ship the API primitives, tools, SDKs, documentation, playgrounds, and platform experiences that make OpenAI’s capabilities reliable, understandable, and useful in production. The API Experience team is focused on the end-to-end developer experience for the OpenAI API. We own the surfaces developers touch every day: docs, SDKs, the Playground, examples, onboarding flows, and the systems that help developers go from first request to production deployment quickly and confidently. About the Role We’re looking for full stack and frontend engineers to help define and build the next generation of OpenAI’s developer experience. In this role, you’ll work across frontend product surfaces, backend systems, SDK and documentation pipelines, and API workflows that serve millions of developers and companies. You’ll partner closely with product, design, research, API engineering, and developer-facing teams to make complex AI capabilities simple to understand, easy to test, and safe to launch in real-world applications. This is a highly cross-functional role for someone who cares deeply about craft, developer empathy, reliability, and product velocity. In this role, you will: Build and scale developer-facing products including the OpenAI API Playground, documentation experiences, onboarding flows, examples, and API workflow tools. Own full stack projects end to end, from product definition and UX collaboration through backend implementation, launch, measurement, and iteration. Improve the systems that generate, maintain, and publish SDKs, API references, docs, guides, and developer examples. Partner with API, research, design, and infrastructure teams to bring new model capabilities and API primitives to developers in a clear, usable way. Use developer feedback, product analytics, and direct customer insight to identif

ROLE SUMMARY The primary purpose of this job role is to function as a member of the Sample Logistics (SL) operations within Pfizer Vaccine Research and Development (VRD). The incumbent will be responsible for receiving samples from global clinical/study trials according to approved protocols and processes. The individual will participate in all aspects of tracking and documenting the chain of custody of samples. The incumbent’s role will include sample receipt, documentation, storage, tracking, aliquoting, distribution to the testing labs, and sample disposal. The colleague will work in a team setting and will share roles and responsibilities as assigned by the team leader/manager. ROLE RESPONSIBILITIES The incumbent will be required to complete all processes as detailed in Sample Management’s Standard Operating Procedures. The colleague will perform job responsibilities in compliance with GXP and all other regulatory agency requirements. The candidate will receive samples from clinical trial sites and enter samples into an electronic database management system. Performs sample storage and retrieval using manual freezers and BiOS (automated freezer storage system). Performs manual sample aliquoting and aliquoting using the Hamilton robotic instrument. <span style="color:#

ROLE SUMMARY The primary purpose of this job role is to function as a member of the Sample Logistics (SL) operations within Pfizer Vaccine Research and Development (VRD). The incumbent will be responsible for receiving samples from global clinical/study trials according to approved protocols and processes. The individual will participate in all aspects of tracking and documenting the chain of custody of samples. The incumbent’s role will include sample receipt, documentation, storage, tracking, aliquoting, distribution to the testing labs, and sample disposal. The colleague will work in a team setting and will share roles and responsibilities as assigned by the team leader/manager. ROLE RESPONSIBILITIES The incumbent will be required to complete all processes as detailed in Sample Management’s Standard Operating Procedures. The colleague will perform job responsibilities in compliance with GXP and all other regulatory agency requirements. The candidate will receive samples from clinical trial sites and enter samples into an electronic database management system. Performs sample storage and retrieval using manual freezers and BiOS (automated freezer storage system). Performs manual sample aliquoting and aliquoting using the Hamilton robotic instrument. Ship samples and lab supplies to external and internal testing labs. Assists in the general maintenance of the Hamilton robotic instruments. Participates in the shipment discrepancy resolution process. Completes documentation according to cGMP/GLP and all other regulatory agency requirements and archives documents as per applicable policies. Carries out sample disposal/sample destruction according to regulated policies and procedures Performs other duties as assigned. QUALIFICATIONS Must Have Bachelor of Science Degree or Bachel

Position Overview: The Product Compliance Requirements Analyst for Diligent Entities will support the US compliance angle of the market-leading entity management solution. Working closely with the Principal Product Compliance Advisor, this role is responsible for translating US corporate compliance requirements into clear, actionable product requirements. The Analyst will focus on delivery: breaking down complex or ambiguous compliance problems into discrete, actionable requirements, running discovery, and producing detailed documentation the Product and Engineering teams can build against. This is a hands-on, execution-focused role rather than a strategic or external-facing one, with daily engagement across Product Management, Engineering, customers, and Customer Success. Key Responsibilities Support the Principal Product Compliance Advisor in ensuring Diligent Entities meets US corporate compliance requirements. Conduct discovery on US corporate compliance and filing requirements, breaking findings down into identifiable, actionable elements. Gather, document, and maintain detailed product requirements for US compliance-related features and changes. Translate regulatory and legislative detail into requirements that Product Managers and Engineering can act on and prioritise. Initially the successfully candidate will focus on US requirements, and the remit may expand to other jurisdictions over time. Track changes in US corporate compliance rules and filing requirements, flagging impacts to Diligent Entities. Work day-to-day with Product Management, Engineering, Customer Success teams, and customers directly to validate requirements and support delivery. Work directly within Diligent Entities to validate requirements against real platform behavior, drawing on hands-on product experience. Provide the US compliance perspective to internal stakeholders (Customer Success, Support, Training, Sales) as needed. Required Experience/Skills: 5+ years' experience as a corporat

ROLE SUMMARY This laboratory-based leadership role will lead upstream process development for both mammalian cell culture and microbial fermentation platforms within Vaccines Early Bioprocess Development (EBPD). The incumbent will provide scientific and people leadership for the design, planning, execution, and interpretation of experiments supporting recombinant protein and vaccine antigen production. The role requires strong expertise in upstream process development, including host and cell-line evaluation, media and feed optimization, bioreactor process development, and integration of product yield and quality considerations. The successful candidate is expected to bring deep expertise in at least one platform, mammalian cell culture or microbial fermentation, together with demonstrated knowledge of and ability to lead programs across the other platform. Responsibilities include application of high-throughput and scale-down models, Design of Experiments (DOE), process characterization and modeling, scale-up, technology transfer, and development of processes suitable for good manufacturing practice (GMP) manufacture. Experience with automated and conventional bioreactor systems, such as ambr, stirred-tank bioreactors, and rocking-motion bioreactors, is highly valued. The role requires rigorous documentation, clear communication of data and recommendations, effective cross-functional collaboration, and a proven record of scientific and team leadership. ROLE RESPONSIBILITIES · Provide scientific and people leadership for the upstream process development workstream spanning mammalian cell culture and microbial fermentation within the Vaccines EBPD Process Development group. · Lead the design, prioritization, execution, documentation, and communication of complex studies to improve cell growth, recombinant protein expression, prod

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We are looking for a solutions-driven, detail-oriented, organized Executive Assistant to support our leadership team in Toronto, New York and beyond. Reporting to the EA Manager, this person will have the opportunity to work cross-functionally and provide high value and impact to the leadership team of the Comms and Marketing Teams and the company as a whole. If you are someone that thrives in a dynamic, collaborative, and fast-paced environment and are interested in joining a company that’s in growth mode, we’d be delighted to hear from you! Please Note: We are looking for candidates based in the Eastern timezone (Toronto/New York etc) As an Executive Assistant, you will: Manage the day-to-day schedules for our Comms and Marketing leadership team, including calendaring, booking meetings and other commitments (where necessary) to ensure a balanced and efficient workday Coordinate internal and external meetings (think 1:1s, partner meetings) and assist with documentation that may be required in conjunction with meetings Arrange international/domestic travel and logistics for our leadership team, including booking f

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We are looking for a solutions-driven, detail-oriented, organised Executive Assistant to support our leadership team in Toronto, New York and beyond. Reporting to the EA Manager for the sales org, this person will have the opportunity to work cross-functionally and provide high value and impact to the sales leadership team and the company as a whole. If you are someone that thrives in a dynamic, collaborative, and fast-paced environment and are interested in joining a company that’s in growth mode, we’d be delighted to hear from you! Please Note: We are looking for candidates based in the Eastern Timezone As an Executive Assistant, you will: Manage the day-to-day schedules for our sales leadership team, including calendaring, booking meetings and other commitments (where necessary) to ensure a balanced and efficient workday Coordinate internal and external meetings (think 1:1s, partner meetings) and assist with documentation that may be required in conjunction with meetings Arrange international/domestic travel and logistics for our leadership team, including booking flights and accommodations, scheduling, and exp

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview As a Senior Engineer, Marketing, you'll be embedded with the Marketing team, providing us with technical leadership, consulting, and systems thinking. You'll assemble the orchestration systems, integrations, and AI capabilities that help teams work faster, and in more data‑driven ways. You will lead end‑to‑end design, implementation, and management of the marketing campaign lifecycle system, integrations, internal tools, and learning/experimentation infrastructure. You will report to our Director, Advertising Systems. Responsibilities: You will write high-quality, secure, and well-tested code, contributing to standards and documentation for Marketing infrastructure, data models, and tools You will build the campaign lifecycle orchestration backbone You will build integrations and internal tools that connect project management, collaboration, creative, media, and email/lifecycle platforms You will work with Marketing partners as a technical advisor, translating needs into designs You will integrate AI agents and automations (including LLM-powered flows) into Marketing workflows according to company GenAI guidance You will design and operate data pipelines and models that ingest marketing and performance data into a data layer, supporting experimentation and analytics workflows You will deliver abstractions and APIs that ensure AI systems and our users to create campaign wrap-ups, insights, next-t