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Senior/Staff Product Manager
Senior/Staff Product Manager at Pulley, an early-stage startup whose AI platform speeds up commercial construction permitting. As an early product hire reporting to the CEO, you'll drive the roadmap for new AI offerings, partner with engineering and design, and work 4 days a week from the Downtown SF office.
AI Fullstack Engineer
Builds and deploys AI-powered creative tools for mobile gaming UA, owning full-stack features from React UI to Python backend and agentic workflows.
Full-Stack-Entwickler*in (Next.js) – Remote
Full-stack/frontend role building Next.js + TypeScript software at a 9-person AI-ERP company serving SMEs with legacy systems. You own parts of projects, work remotely (occasional in-person meetings), use Claude Code productively, and get €20–30/hour plus performance bonuses with flexible start, hours, and contract length.
Site Reliability Engineer
E2B is hiring a Site Reliability Engineer to build and operate the infrastructure that runs its Agent Cloud in customers' AWS, GCP, and Azure environments — Terraform modules, Helm charts, Kubernetes reliability, monitoring, and on-call. On-site 4 days/week in San Francisco or Prague.
Staff Product Manager (vMetal)
Own the product direction for vMetal, a platform that turns bare-metal hardware into a programmable Kubernetes-based infrastructure for AI Cloud operators and hyperscalers.
Senior Staff Data Engineer, Databricks (R6508)
Senior data engineer at defense-tech company Shield AI who builds and operates the enterprise Databricks lakehouse — owning Bronze/Silver medallion pipelines, batch/CDC/streaming ingestion, Unity Catalog governance, data quality controls, and CI/CD for regulated data. Core stack: Databricks, Delta Lake, Spark/PySpark, Spark SQL.
Design Manager
Remote (LATAM) working design manager at Turing: lead a two-person design team while personally producing social, web, email, video, motion, and campaign creative for the company's marketing brand, using AI creative tools alongside traditional design craft.
Senior Full-Stack Engineer - Enterprise AI
Senior full-stack engineer in Mumbai (hybrid, 3 days/week in office) building enterprise applications for asset management clients, including a private equity dashboard. Owns features end to end across a Python backend, React frontend, APIs, integrations, and relational databases, using AI tools like Claude and Codex during development.
Platform Engineer - Enterprise AI
Platform engineer building and operating Turing's Enterprise AI platform (hybrid, NYC): core platform services, model gateway, multi-tenant Kubernetes infrastructure, CI/CD, IaC with Terraform/Pulumi and GitOps, observability, and FinOps cost telemetry, with deployments into client cloud accounts, dedicated instances, and sovereign environments.
Product Manager
Product Manager at Turing (remote, India) owning roadmap and execution for core platform areas like talent search/matching, vetting, and marketplace workflows. The role is data-driven and cross-functional, partnering with engineering, design, and ops to ship B2B platform experiences supporting Turing's AI training-data and agentic-AI business.
Head of Platform Engineering, Enterprise AI
Leads the platform engineering team for Turing's Enterprise AI unit, setting technical direction for a model-agnostic, multi-tenant platform that lets enterprises deploy agentic AI systems in production, including customer-controlled environments. Hands-on leadership: LLM orchestration/evaluation/serving/fine-tuning, enterprise security, hybrid 3 days/week in Manhattan.
Senior DevOps & Infrastructure Engineer
Senior hands-on DevOps/SRE role at Turing: operate multi-cloud (GCP, AWS, Azure) production infrastructure, build developer platforms and CI/CD with Terraform and Kubernetes/GKE, lead incident response, and join a global on-call rotation. Remote within Brazil with regular overlap on U.S. Pacific Time hours.
Machine Learning / Data Engineer
Senior hands-on ML & Data Engineer owning data quality and sensitive-data compliance: building NER-style models and pipelines that detect and consistently replace PII, PHI, CII, and financial data in enterprise text/image data, plus validation suites, adversarial test sets, CI/CD regression gates, and audit trails. Core stack is Python, SQL, ML detection systems, and GCP data tooling; fully remote
Forward Deployed AI Engineer
Builds production generative-AI and multi-agent systems (RAG, orchestration, tool use) directly for enterprise clients at Turing, owning projects end-to-end from customer discovery through architecture, deployment, evaluation, and scale. Requires 8+ years of backend/Python engineering; in-office in NYC 3-5 days/week.
Forward-Deployed AI Engineer
Forward-Deployed AI Engineer at Turing's Enterprise AI unit: works directly with large enterprise clients to uncover high-value problems, then architects, builds, and owns production generative AI systems end to end. Core stack involves Python, backend/distributed systems, cloud, LLM agents, orchestration, and RAG pipelines.
Senior Software Engineer
Senior engineer on Turing's STEM Horizontal team building the machinery behind AI training data: backend services, data pipelines, evaluation harnesses, and sandboxed agent execution environments. Core stack is Python (FastAPI/Django), PostgreSQL, TypeScript/React/Next.js, and Terraform on AWS/GCP.
Founding Forward Deployed Engineer
Founding forward deployed engineer at an early-stage B2B SaaS startup building AI-powered revenue operations tools. You lead customer onboarding, build semantic models in SQL, and deploy/monitor AI agent workflows in customer environments. On-site in New York; core stack includes SQL, Python, dbt, and LLM/agent tooling.
Data Engineer, AI Platform for Industrial Data
Safran.AI (ex Preligens) is hiring a Data Engineer in Paris for its AI Platform team to build and maintain a data platform (datalake, data warehouse, orchestrator) plus MLOps tools. The role covers ingesting, transforming, and exposing data while keeping ML pipelines scalable, traceable, and available.
Forward Deployed Engineer
Technical owner for customer AI engagements at an open-model AI research lab: leads discovery, POCs, and end-to-end production delivery across the AI stack — GPU orchestration, inference (vLLM/SGLang), agentic applications, and post-training — while turning field learnings into platform and model improvements.
Data Engineer: Python, Dask & Polars - Pipelines & CI/CD
Design, develop, and maintain Python-based data pipelines in Paris using Polars or Dask, working with Parquet, CSV, and JSON formats and building automated data quality controls. The role works in an industrial setting with containerization, orchestration, Git, and CI/CD for reliable, security-aligned deployments.