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Senior Software Architect/DevOps engineer who defines architectural solutions, develops software, and automates and integrates systems. The core stack is Microsoft Azure and Azure DevOps with C#/.NET, React, Kafka/RabbitMQ, Docker/Kubernetes, plus applied AI (RAG, MCP, AI agents).
Builds and ships internal apps, AI agents, and workflow automations for Rivian's Facilities organization using AI-native tools (Cursor, Claude, Gemini), connecting systems like Procore and Databricks while owning the full SDLC. Hybrid role in Atlanta for the Rivian–Volkswagen joint venture.
Senior DevOps/Platform engineer at Localize (a web/app translation SaaS) who owns AWS and Cloudflare infrastructure, Redis and MongoDB data stores, CI/CD and release automation, monitoring (Datadog, ClickHouse, HyperDX), and SOC 2 Type II security compliance. Fully remote US role reporting to the Engineering Manager.
Mid-level Ruby on Rails engineer owning backend features end to end on a mission-critical content platform powering an e-commerce and adtech ecosystem (flyer processing, merchant admin, workflow automation). Fully remote from Germany, with an AI-first workflow using coding agents, plus automated tests, CI/CD, and production support.
Software engineer in DataSign's small R&D team (2 engineers) building and operating AI MONBAN — an enterprise platform unifying auth, authorization, and audit for AI agents accessing SaaS via MCP — and the OWND verifiable-credentials OSS. Work spans MCP connectors, Ory-based auth infrastructure, OID4VC standards implementation, client/government PoCs, and CI/CD.
Senior Software Engineer building internal tools and AI-powered workflows to streamline operations for a mission-driven nonprofit, using full-stack development and LLM-based systems.
Hands-on engineer building generative-AI applications — prototypes, copilots, agents, and RAG solutions — for Morgan Stanley's internal business teams, helping move AI capabilities toward production. Core stack: Python, LLM frameworks (LangChain/LangGraph, OpenAI/Claude SDKs), vector databases, and Azure/AWS.
Leads Robinhood's Finance & Strategy Data Science team as a player-coach manager, overseeing data scientists and analytics engineers, NPS/survey programs, measurement and benchmarking frameworks, and AI-powered analytics. Core stack is SQL, Python, statistical analysis, experimentation, and agentic AI workflows.
Software engineer on DoorDash's MDX team building the agentic layer of its ML infrastructure: systems that let AI agents run modeling experiments, auto-research ideas, and self-heal ML pipelines for engineers across DoorDash, Wolt, and Deliveroo. Core work spans backend Python, distributed systems, agent orchestration, evaluation, and observability.
Senior Staff Engineer on Gusto's Agent & Partner Experiences team, building the APIs and agent-facing tools that let third-party developers and AI agents act on payroll via a large Ruby on Rails codebase. Hands-on coding plus technical leadership, API contract design, reliability/observability practices, and mentoring across the org.
Hands-on tech lead owning Quicklizard's end-to-end data architecture for its dynamic pricing platform: designing large-scale batch and streaming ETL pipelines, data lake modeling on AWS/GCP (Spark, Airflow, BigQuery, Kafka), query/cost optimization, and mentoring a team of data engineers while still writing code.
Hands-on staff-level backend IC building the hardest parts of The Vault, an MPC-based crypto custody platform: policy engine, signing orchestration, key lifecycle, recovery flows, and multi-tenant SaaS services. Core stack is modern systems languages (Go preferred) with gRPC, Postgres, Kafka/NATS, plus AI-assisted development (Claude Code, Cursor, Codex). Fully remote with EU/CIS hours overlap.
Senior analytics IC who builds trusted data models, owns metric definitions and data quality, and runs deep-dive analyses across Product, Finance, and GTM using AI tooling like Claude Code and Codex. Core stack: SQL, cloud data warehouses, GA4/GSC, Metabase, dbt, Cube, and Python, with dashboards and customer-facing insights for executives.
About the Role AI agents are getting hijacked, tricked, and turned against the companies that deploy them. Zenity stops that, and our research proves it by breaking agents that the biggest companies in the world use.…
Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The…
Senior Product Manager owning developer productivity as an internal product at Okta, embedded with the Developer Productivity & AI Enablement Engineering org. They interview engineers, run build-vs-buy evaluations of AI-native and traditional dev tooling (coding agents, CI/CD, code review), and measure impact on engineering outcomes.
A senior hybrid role at Mixpanel where you design and code the infrastructure that powers an AI-native design system, bridging design standards and production code to enable AI-assisted workflows.
The Customer Value Architect manages a portfolio of B2B SaaS accounts, driving product adoption and ensuring customers achieve measurable ROI through the Mixpanel platform. This role involves building relationships with stakeholders, creating adoption plans, and leveraging AI workflows to help clients optimize their product data usage.
The Customer Value Architect III at Mixpanel advises B2B SaaS customers on maximizing Mixpanel’s analytics platform ROI, bridging business goals with technical adoption. They own account value plans, drive enablement, and collaborate with stakeholders to ensure customers derive measurable outcomes from their investment.
A relationship-first customer success role (explicitly not engineering) owning adoption, ROI, and AI-maturity for a portfolio of high-value EMEA accounts from a hybrid London base. Day to day: executive relationship building, success/adoption plans, business reviews, and advising customers using Mixpanel's analytics and AI tools.
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