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Plaid
📍 San Francisco• Full-time• Remote• $207.6K – $339.6K/yr
20 days ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. As a Product Manager on the AI & Data Foundations team, you will build the shared platforms that power Plaid’s AI and data capabilities. This is early-stage, hands-on work: you’ll partner with data, ML, and platform engineers to take capabilities from 0→1 and scale them into infrastructure that is accessible, reliable, and easy to use across Plaid. Your scope will span our AI platform (e.g., LLM gateway, eval infrastructure), our data platform (e.g., Databricks, AI-powered data tooling), and the systems connecting the two. This role is for an experienced platform PM who is excited about the rapidly evolving intersection of data infrastructure and AI. You are technically fluent, strategic, and execution-oriented, and know how to turn emerging capabilities into reliable platforms, primitives, and tools that other teams can build on. Responsibilities AI & Data Foundations Strategy: Define the vision, roadmap, and success metrics for the shared platforms that power data and AI development across Plaid. Platform Development : Partner with data, ML, and platform engineers to design and ship foundational capabilities spanning AI infrastructure, developer tooling, data platforms,

REMOTEai
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End to end responsible for: • project design integration under D&B by converting product intent into organization’s Requirements and coordinated deliverables. • stage-gate reviews and interface management across Arch–Str–MEP to ensure buildability, compliance and cost alignment. • design change governance with quantified impacts, protecting baselines and reducing claims and rework. • construction-stage design assurance via submittal reviews, mockups and deviation control without duplicating PMC. • Ensures transparent MIS, audit-ready records and SLA-driven closures across stakeholders. Source: Adani Group | Job ID: 54250

M
9mo ago

InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our office or remotely in the United States. What You’ll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We’re Looking For Minimum Qualifications: 10+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery Strong coding skills in Go (Golang), Python, C, C++, or Rust Proven track record of building and operating large-scale distributed systems or cloud platform infrastructure Hands-on experience using Terraform, CloudFormation, or Ansible for automated infrastructure provisioning Demonstrated experience owning infrastructure in Linux,

pythonmongodbaws
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