Jobs at Turing

Own and optimize paid acquisition campaigns across Meta and Google Ads to attract qualified professionals to Turing’s talent marketplace. Manage targeting, budgets, bidding, creative testing, funnel measurement, and conversion optimization. Analyze performance from ad click through onboarding using dashboards, GA4, Google Tag Manager, UTMs, and attribution data. Collaborate with marketplace operations, talent, creative, and analytics teams to improve applicant quality, acquisition efficiency, and scalable growth across markets.

Owns delivery health across a portfolio of enterprise AI engagements in India. Responsibilities include architecture and production-readiness reviews, distributed team staffing, delivery recovery, estimation, SOW review, change control, margin protection, and commercial accountability. The role partners with engagement, presales, architecture, and platform leaders to deliver production AI systems, resolve risks, redeploy capacity, and convert client-specific solutions into reusable platform capabilities.

Build and operate infrastructure for evaluating coding agents and language models. Own end-to-end features across data models, APIs, background workers, and user interfaces; run sandboxed agent trials; develop scoring and task-quality systems; integrate models and benchmarks; optimize performance, concurrency, migrations, and reliability; and review code. The role requires independent ownership of production backend systems and hands-on LLM evaluation experience.

Supports strategic and operational initiatives through research, data analysis, project planning, performance tracking, process improvement, and leadership reporting. The role coordinates cross-functional teams, develops insights and dashboards, monitors milestones, and helps turn ambiguous business challenges into structured plans and actionable outcomes. It offers exposure to strategy, operations, product, engineering, data science, and go-to-market functions in a fully remote environment.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Own end-to-end delivery of software-engineering data programs, including scope, timelines, quality, throughput, cost, contributor performance, and customer reporting. Coordinate hundreds of distributed engineers, optimize annotation and evaluation workflows, analyze quality data, build automation and reusable playbooks, and serve as the primary client contact for AI research organizations. The role requires technical fluency sufficient to inspect code, tests, workflows, and evaluation results while leading large-scale operational execution.