Platform Delivery Specialist in New York

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product leaders who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. We are looking for entrepreneurial and passionate product leaders to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Safety & Customer Care (SCC) Product team builds the platforms, products, and experiences that support riders and drivers when they need help most — and help keep them safe every time they ride. As the Director of Product, Customer Care, you’ll lead a team of product managers driving Lyft’s customer care strategy end to end: AI-powered support across chat and voice, the contact center platforms our support teams run on, and the underlying data layer which is critical to understand where our products can be improved. It’s a rare chance to shape how a category-defining company delivers support at scale — across emerging AI capabilities, global expansion, autonomous vehicle partnerships, and new lines of business. Responsibilities: Own the vision, strategy, and multi-year roadmap for Lyft’s Customer Care product portfolio — spanning AI-driven support automation, contact center platforms, self-service and issue resolution, and the trust and safety products underpinning every interaction Lead, coach, and grow a team of product managers, setting a high bar for product craft, execution, and career development Partner with senior leaders across engineering, data science, design, operations, and finance to set priorit

Manager I, Engineering - Onboarding Growth This Engineering Manager will lead the Onboarding team within the Shared Capabilities organization, setting product direction, and coaching and developing team members. They will staff and drive projects that drive new users to adopt Datadog in their organizations. From the first time a new user signs up for a Datadog trial, this team is responsible for making sure they have a world class setup and onboarding experience, and can realize the full value of Datadog in their organization. Onboarding owns the “front door” of Datadog, the very first experience new users and prospective customers encounter. This work is extremely important to company success - improving our onboarding process directly impacts new users ability to find value with Datadog quickly. This role also involves close partnerships with other product teams to deeply understand customer needs and deliver compelling first-time user experiences 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: Work with Product Management and Design to plan and staff projects for the Onboarding Growth team Coach and develop engineers at various levels Ensure strong cross-team communication and design best practices around project management, code review, architecture patterns, and more Build UX features to streamline the onboarding and trial experience through rapid experimentation Build out data platforms and use that data to personalize the onboarding experience for each user Work directly with product teams to ensure each product has a best in class new user experience Create AI-assisted setup options to make sure initial setup “just works” out of the box Champion the use of analytics data to analyze user behaviour and apply those insights

As a Finance Systems Analyst, you will play a key role in modernizing Datadog's finance organization through process automation, data analytics, and financial systems optimization. Working within the Finance Systems team, you will partner closely with Accounting, FP&A, Tax, and other finance stakeholders to improve the efficiency, accuracy, and scalability of financial processes and reporting. You will leverage technologies such as AI tools, SQL, Python, Tableau, and financial systems to analyze data, automate workflows, and deliver actionable insights. This role offers an opportunity to help shape how emerging technologies, including AI, transform finance operations while contributing to strategic decision-making across the business. 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 Accounting, FP&A, Tax, and other Finance stakeholders to gather requirements and translate business needs into scalable reporting and analytics solutions. Collaborate with cross-functional teams including IT, Business Systems, Sales Systems, and Analytics to drive data and automation initiatives. Build and maintain dashboards and reporting tools that monitor financial and operational performance and support evolving business priorities. Automate recurring finance processes and enhance data workflows using AI tools, data visualization platforms, and custom solutions. Support financial system implementations and upgrades through data migration, mapping, reporting integration, testing, and validation activities. Deliver analytical insights and maintain documentation that enables self-service reporting and informed decision-making across Finance. Who You Are: Have 1-5 years of experience in data analytics, financial systems, finance operations, or a rel

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: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and our team. This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale. Responsibilities include: Identifying architectural changes to improve reliability and performance. Fostering a culture of reliability across Modal’s engineering organization. Defining and implementing operational processes such as deployments, upgrades, etc. Operating systems like Kubernetes, Postgres, Redis, etc. Participating in on-call rotations, and responding to production incidents. Requirements: 5+ years of experience writing high-quality production code. 2+ years of

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. 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: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by providing

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. 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: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by pro

The Detection Platform organization is responsible for helping customers identify, understand, and act on issues across their environments through alerting, event intelligence, and autonomous detection capabilities. As Director, Detection Platform, you will lead a group of engineering managers and teams responsible for foundational alerting infrastructure, event management, monitor creation experiences, and AI-powered detection systems. This role sits at the center of Datadog’s efforts to evolve how customers detect, investigate, and respond to operational issues at massive scale. You will partner closely with Product Management, Applied Science, Design, and Engineering leaders to shape the future of detection and observability experiences for Datadog customers while leading a growing organization of engineers. 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: Lead a multi-team engineering organization responsible for alerting, event management, monitor creation experiences, and autonomous detection capabilities. Define and execute the technical and organizational strategy for the Detection Platform while aligning stakeholders across Engineering, Product, Design, and Applied Science. Drive innovation in AI-powered detection, anomaly identification, and signal generation that helps customers proactively identify and resolve issues. Scale highly available platform systems that process hundreds of millions of evaluations while maintaining reliability, performance, and operational excellence. Develop and mentor engineering managers and technical leaders, fostering a culture of execution, collaboration, and technical rigor. Champion customer-centric product thinking by balancing platform investments with intuitive user experiences and measurable customer

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 This role is open to remote candidates located anywhere within the Eastern Time Zone. The Cash Platform team is part of Stripe's Money Movement Services Platform. We manage Stripe's FX and cash positions across the globe, owning two of the most commercially critical problems in our business: delivering the best possible FX trades for our users, and optimizing the cost and routing of cross-border payouts across countries. Stripe recently launched its own in-house bank, enabling near-instant movement of funds across accounts worldwide—and Cash Platform is at the center of bringing that infrastructure to Stripe's products and, increasingly, to our customers. What you'll do You'll work closely with engineering teams across Cash Platform and Money Movement Services, cross-functional partners spanning Legal, Treasury, Financial Crimes, and Sales, and senior stakeholders inside and outside Stripe. You'll define the strategy and roadmap for Stripe's FX and cross-border payout products, drive cost optimization and routing decisions at scale, and help shape the path toward monetizing Stripe's in-house banking infrastructure for users globally. Responsibilities You are expected to: Deeply understand the competitive landscape and define clear benchmarks for where Stripe's FX and cross-border payout products need to be Own the product strategy and roadmap for Cash Platform, balancing near-term cost and performance optimization with longer-term platform m

Company Description Novo is a venture-backed fintech that simplifies banking for small businesses. Since our Fall 2018 beta launch, we've expanded offerings from free checking accounts and debit cards to lending products, business tools (invoices, bookkeeping, and more), and integrations. Today, Novo is a powerfully simple banking platform that serves over 250,000 small businesses. In addition to providing smart tools built for entrepreneurs to better run and grow their businesses, Novo has processed billions in transactions in partnership with a number of established banking partners. Our vision is to be the go-to platform serving small businesses – from launch to everyday – so business owners can focus on growing, while Novo provides seamless money movement, money storage, and access to capital. We'd like to look back 5–10 years from now and know that we helped new generations of small businesses succeed because of the work we did at Novo. Novo raised $170 million in venture capital and is backed by leading investors, including Stripes, Valar Ventures, Crosslink Capital, and Notable Capital (formerly GGV). Learn more at https://www.novo.co . Role Description Novo is seeking a Senior Product Manager to own the platform surface area that connects, activates, and deepens value for small businesses in their first 90 days and beyond. This role spans our DDA onboarding to funding activation funnel, invoice workflow, external integrations ecosystem — three interconnected surfaces that together determine whether a new Novo customer becomes an engaged, transacting one. The role will also explore how to apply AI to enhance how SMBs interact with Novo. The ideal candidate is a hands-on product leader who combines platform and tooling depth with a growth mindset: someone who can own complex product workflows end-to-end, run rigorous experimentation, and is comfortable getting their hands dirty in LLMs. This is a high-impact, high-visibility role at the intersection of product

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: Notion's Business Development team accelerates product distribution and platform growth through partnerships. This role has the potential to drive outsized scope in Notion's journey - we’re partnering with some of the best companies in the world and turn momentum into first-in-kind deals and scaled programs that result in delightful experiences for our customers, and growth for Notion. As Business Development Manager, you'll be the ecosystem partner to our engineering and product teams, launching and deepening integrations with frontier intelligence platforms and the tools our customers already use. You'll be the voice of partners within Notion, shaping our product roadmap and driving adoption of new APIs and developer tools in the ecosystem. You'll also get to design and execute growth strategies that drive new user demand and own relationships with some of our strategic partners like OpenAI, Anthropic, Slack, and Google. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together i

Manager I, Engineering - Change Experience Platform The Change Experience Platform team builds the internal experiences and platform capabilities that help Datadogs understand, author, route, and safely manage infrastructure changes. The team owns internal UI and CLI frameworks, change-management user experiences, notification and subscription platforms, and infrastructure governance signals used across Datadog’s engineering organization. Its work sits at the intersection of developer experience, infrastructure operations, product design, and change safety. We’re looking for a hands-on technical leader to manage and grow a team of engineers working on the systems that shape how Datadog engineers interact with infrastructure change. You will partner closely with infrastructure, developer experience, platform engineering, and product teams to build reusable interfaces, workflows, and safety mechanisms that make complex change processes easier to understand and safer to execute. This is a high-impact role for someone who enjoys combining product thinking with strong engineering judgment. You will help the team balance framework ownership, platform reliability, internal customer needs, and long-term technical direction across a portfolio that includes UI systems, CLI authoring and publishing, change-management workflows, notification routing, subscriptions, and infrastructure cordon management. 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: Lead and grow a small team of engineers responsible for internal platforms and product experiences used across Datadog engineering. Help define what “good” looks like for internal developer-facing platforms, including usability, reliability, documentation, adoption, and supportability. Se

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're building the data infrastructure behind some of the most demanding AI training workloads in the world, and we want sharp, curious people to help us do it. In this role, you'll build and maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs. As a Software Engineer, Data Infrastructure, you will: Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it. Collaborate daily with researchers and engineers who are some of the best in the world at what they do. You may be a good fit if you have: 4+ years of experience working on data storage infrastructure Strong command of Python Kubernetes experience, especially on the storage side (Persistent Volumes, CSI drivers, etc.) The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink [Nice-to-have] Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt Genuine excitement about AI.