Product Manager Job Summary We are seeking an experienced Product Manager with a proven track record of successfully managing multiple technical projects concurrently, leading teams, and expertise in Agile and Kanban methodologies. The ideal candidate should have at least 10 years of relevant experience and be technically proficient, capable of unblocking developers as needed. Additionally, the candidate should have a strong ability & vision to create product roadmaps. Responsibilities Requirements Gathering & Discovery of Scope Gather and analyze business requirements from stakeholders. Conduct discovery sessions to understand business objectives, user needs, and technical constraints. Define project scope, success criteria, and functional requirements. Translate business needs into actionable product and engineering requirements. Ensure alignment between business goals, customer expectations, and technical feasibility. Project Planning & Execution Plan, execute, and monitor multiple technical projects simultaneously. Define project scope, timelines, milestones, and deliverables. Track Agile delivery metrics including: Burndown charts Sprint velocity Bug and defect metrics Release readiness documents Release checklists Monitor project progress and ensure timely delivery while maintaining quality standards. Coordinate cross-functional activities to ensure successful project execution. Project Management Tools Hands-on experience with Jira, Asana, Linear, Azure DevOps (ADO), or similar project management tools. Manage product backlogs, sprint planning, issue tracking, reporting, and workflow management. Build dashboards and reports to monitor project health, team velocity, and delivery progress. Ensure project documentation and tracking are maintained within project management platforms. Team Leadership Lead and manage cross-functional teams, providing clear direction, assigning tasks, and motivating team members to achieve project goals. Foster a collabo
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About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control. What Are We Looking For We’re looking for a Platform Security Engineer to join our team and help strengthen the security of Supabase’s infrastructure, cloud platform, Kubernetes environments, and containerized workloads as we continue to scale. You’ll work closely with infrastructure, platform, SRE, product engineering, and technical leadership , helping us proactively reduce risk across the systems that run Supabase. This role is ideal for someone who has deep hands-on experience with AWS, Kubernetes, containers, Linux, and large cloud environments and is excited about securing developer infrastructure without slowing teams down. Success in this role means improving the security posture of the platform through pragmatic engineering, clear technical judgment, and scalable guardrails. What You’ll Be Responsible for In this role, you’ll: Identify and reduce security risk across AWS, Kubernetes, containerized workloads, and platform infrastructure. Conduct threat modeling, architecture reviews, and technical risk assessments for platform and infrastructure systems. Partner closely with infrastructure, platform, and SRE teams to design practical controls and secure-by-default patterns. Improve Kubernetes and container security across areas like workload isolation, RBAC, admission control, secrets, network policy, and runtime hardening. Assess container runtime and Linux isolation risks, in
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Integrations & Application Engineering team owns the integration and automation platforms at Airbnb. We enable teams across the company to self-serve in connecting their systems and automating solutions, and we integrate Airbnb’s enterprise systems end-to-end. The team also builds and manages custom in-house solutions and the application infrastructure that supports them. This is a hybrid IC and people-leadership role focused on Finance integrations and automations. As a Tech Lead Manager, you will lead and grow a team of engineers while operating hands-on at a senior IC level, setting technical direction, owning delivery, and writing and reviewing code yourself. We’re looking for someone with deep ERP product knowledge who builds integrations in general-purpose languages, takes ownership of systems and people, and is enthusiastic about applying AI, building tools and integrations with Claude Code that extend what the team can do. A Typical Day Lead the Finance and ERP integration practice: set direction, run initiatives in parallel, and own the systems and processes your team supports. Balance management with hands-on work: unblock the team, review designs and code, and build complex integrations, backend services, APIs and MCPs yourself. Partner with Finance, Procurement, and cross-functional teams to translate requirements into integrations, automations, and reporting. Coach and grow engineers and contractors through design reviews, architecture discussions, and career development. Own the smooth operation of month-end financial integrations and reporting, proactively surf
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption. You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations. What You'll Do Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires. Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures. Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems. Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data. Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across reg
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption. You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations. What You'll Do Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires. Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures. Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems. Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data. Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across reg
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About Replit Replit is building the world’s most ubiquitous AI coding agent. Replit Agent can be used by anybody to bring their ideas to life. Whether it’s an app for yourself, the next great startup idea, or a tool to make you more productive at work, Replit Agent can help build it. Replit is also the leader in secure vibe coding. We protect apps, give users features to manage security risks, and help them vibe code more safely. About the Role In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties. This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems. On this team, you’ll have the opportunity to grow your skills across our infrastructure and product, and to lead end-to-end efforts with meaningful impact. We value diverse perspectives and encourage candidates from all backgrounds and experiences to apply. You Will Build high-throughput backend applications and services, like streaming chat between user and agent. Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time. Develop infrastructure (frontend & backend) that empowers product enginee
About Highnote Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an embedded finance company that sets the standard in modern card platform management. As an all-in-one card issuer processor and program management platform, we provide digital-first organizations with the flexibility to seamlessly issue and process payment cards, embed virtual and physical card payments, and integrate ledger and wallet functionalities—empowering businesses to drive growth and profitability. We’ve raised $145M+ and have grown our team to 140+ employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 25+ US states. Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet. We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen. Job Description The Data Platform Team is part of the Data Organization and is responsible for designing and building modern scalable, secure and reliable data platforms and data pipelines. With the data platforms, we will be able to serve the product/customer data needs, improve operational efficiency and increase revenue. What you’ll be doing Building secure and scalable data platforms that support our product/customer needs and power data driven decision making. Writing high quality and robustly tested code, mostly in Java and Python. Understanding business/data needs and growth to build the right solutions. Documenting your work to support our rapidly-scaling company. Interfacing with internal business stakeholders and technology partn
Must be based in Vancouver The role We're hiring a dedicated data engineer to own the production data platform that our delivery, product, and engineering teams run on; designing integrated, governed data pipelines and delivering automated reporting, AI-assisted workflows, and predictive signals on top of them. You'll write production code, design systems, own CI/CD, and be accountable for the correctness of data that leaders make decisions on. What you'll do Design and operate our cloud data platform: ingestion, transformation, orchestration and serving. Integrate data from across the business (delivery tooling, CRM, product telemetry, finance, support and customer feedback systems) with shared identifiers, data contracts and lineage. Build automated and continuously refreshed reporting so teams manage by exception rather than chasing status. Connect approved AI agents to governed data with structured outputs, provenance, guardrails and human approval in the loop. Build feature pipelines and the MLOps controls behind predictive use cases: tests, versioning, promotion gates and drift monitoring. Own the engineering standards for data: testing, observability, environment promotion, PII classification and access control. What you'll bring Strong software engineering fundamentals: production-quality code, API and interface design, testing discipline, systems design. Real experience building and operating production data platforms on a cloud warehouse or lakehouse (Snowflake and AWS preferred) with dbt and a modern orchestrator. Practical AI tooling experience: something shipped, not prototyped. LLM-backed classification, extraction or structured-output pipelines; agent and tool-calling workflows; retrieval; evals. You can reaso
About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are seeking a platform engineer to join our Compute Capacity team. This team owns the capacity plan that keeps compute supply ahead of demand across every region we operate in — the forecasting, buffer policy, and provisioning systems that make sure a project never runs into a wall it didn't know was there. You'll work on the systems that turn a capacity plan into provisioned reality: reservation acquisition, fleet reconciliation, and the automation that keeps what we've committed to in sync with what we're actually running. You'll help build the metrics and alerting that let capacity problems surface months out, on vendor lead time, rather than at the moment someone needs the room. You'll design, build, and operate systems that are both robust and highly automated — helping us hold the right buffer at the right cost, catch drift before it becomes a shortage, and give every team a single, trustworthy view of how much room we have across the millions of databases we manage. What You'll Be Responsible For Help build and maintain the capacity plan that keeps Supabase's compute supply ahead of demand across regions and instance families Support buffer policy by modeling headroom targets and their cost tradeoffs for review and sign-off Build and maintain automation that turns the capacity plan into provisioned reality — reservation acquisition and top-up, fleet reconciliation, drift detection between committed and running capacity Extend our infrastructure as code for capacity-relevant provisioning Instrument capacity: build and maintain metrics for saturation, reservation coverage, idle buffer, forecast error, and provisioning latency Build and tune capacity alerting so headroom,
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. Stay curre
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. Stay current with ad
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Backend Engineer - Platform Insights An overview of this role As a Senior Backend Engineer in Platform Insights, you'll build and evolve the core backend systems that power GitLab's data platform. In this role, you'll focus primarily on Go-based development for the Data Insights Platform and Siphon, with an emphasis on core system design, production readiness, and deployment across GitLab environments. You'll own high-throughput, multi-component backend systems and help shape architecture, reliability, deployment, and operational maturity across GitLab's SaaS, Dedicated, and Self-Managed environments. What you'll do Design
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The Platform Services team is at the core of accelerating Addepar’s platform scalability, elasticity, and global expansion. We play a pivotal role in driving innovation and standards for building distributed services and on-demand environments to meet the rapid scale of Addepar’s growth. Working at the critical intersection of application, infrastructure, and operations teams, we promote developer velocity and robust process automation. Working with a healthy mix of new technologies and existing core applications, the team thrives on solving complex challenges to deliver high-impact solutions. If you're passionate about creating true engineering leverage, this is the team for you. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Work with teams across the organisation to: Develop resilient distributed services and high quality tooling to support product operations and engineering Investigate and debug complex issues that span across teams and applications Drive software delivery and improve the engineering processes we use to develop and release software Who You Are Comfortable working independent
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab features must ship successfully across four distinct deployment platforms—Self-Managed, Dedicated, Dedicated for Government, and GitLab.com. Today, developers routinely discover platform compatibility issues late in development, triggering costly rework, delays, and emergency escalations. The Platform Readiness team is building an internal developer tooling capability that embeds platform readiness intelligence directly into GitLab's software development lifecycle to solve this problem. As an Intermediate Backend Engineer on the newly established Platform Readiness functional team in Developer Experience, you'll contribute
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab features must ship successfully across four distinct deployment platforms—Self-Managed, Dedicated, Dedicated for Government, and GitLab.com. Today, developers routinely discover platform compatibility issues late in development, triggering costly rework, delays, and emergency escalations. The Platform Readiness team is building an internal developer tooling capability that embeds platform readiness intelligence directly into GitLab's software development lifecycle to solve this problem. As a Senior Backend Engineer on the newly established Platform Readiness team, you'll architect and evolve the systems that enable feature
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