Jobs at Turing

Drive revenue growth for Turing’s AI capabilities and talent solutions by prospecting, qualifying, developing, negotiating, and closing complex enterprise opportunities. Build executive relationships, expand strategic accounts, manage sales pipelines and quotas, and collaborate with operations, talent, product, finance, and commercial teams. The role requires independent execution, consultative technical fluency, outbound business development, and the ability to navigate complex stakeholder and purchasing environments.

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 enterprise AI engagements from signed SOW through production deployment, adoption, renewal, and expansion. Lead client relationships, executive steering committees, delivery teams, scope, timelines, risks, staffing, P&L, margins, and change orders. Ensure measurable business impact, production readiness, and stakeholder confidence while guiding technical delivery without writing code. Requires strong financial-services consulting or delivery experience, AI/ML production-program leadership, technical fluency, and New York metro availability for frequent client onsite work.

Own Turing’s social media presence across LinkedIn, X, Instagram, and Facebook. Responsibilities include developing the content calendar, writing platform-specific posts, translating AI research into engaging content, creating breakout campaigns, covering conferences, engaging the AI community, running employee advocacy programs, and analyzing performance. The role requires strong writing, AI fluency, demonstrated viral content success, and hands-on social media experience.

Owns new-logo enterprise sales for Turing’s AI and data platform within financial services. Responsibilities include building target account lists, developing executive relationships, qualifying and closing multimillion-dollar platform-and-services deals, directing solution teams, managing forecasts, and expanding initial engagements into multiyear AI programs. The role focuses on banks, asset managers, private equity firms, and insurers and requires New York-based work with regular Northeast travel.

Own complex, urgent hiring requests for US-based and specialized talent from intake through start date. Set hiring timelines, manage risks and escalations, coordinate sourcing, assessment, operations, and onboarding teams, and improve hiring funnels and playbooks. Track hiring metrics, provide leadership reporting, collaborate with product and engineering on matching and assessment tools, and coach teammates. The role is onsite in San Francisco or Palo Alto and requires occasional travel.

Build and deploy production generative AI and agentic systems for enterprise clients. Responsibilities include identifying valuable customer problems, shaping technical architecture, developing multi-agent workflows and integrations, and owning systems through deployment and scale. The role requires hands-on ownership of evaluation, observability, security, reliability, latency, scalability, cost, and measurable business outcomes while collaborating directly with senior technical and business leaders.

Lead integrated visual campaigns across social, web, email, events, presentations, and marketing collateral. Manage two designers while personally producing high-quality graphic, motion, video, animation, and interactive work. Use AI tools to accelerate ideation and production, translate complex AI concepts into compelling creative, and build scalable brand and campaign systems. The role requires strong visual judgment, creative direction, hands-on execution, portfolio quality, and experience developing designers and integrated marketing campaigns.

Owns KYC and identity-verification quality and integrity by adjudicating complex cases, reviewing document and identity fraud risks, conducting sanctions, PEP, and AML screening, and auditing reviewer decisions. The role identifies fraud patterns, leads calibration and quality improvements, refines policies and playbooks, provides reviewer feedback, and documents decisions. Requires independent judgment in a high-volume, global, remote environment.

Build and support production enterprise applications for asset management clients. Own full-stack features from requirements and technical design through testing, deployment, and production support. Develop Python backend services, React interfaces, APIs, integrations, and database layers while maintaining security, quality, documentation, and reliability. Use AI-assisted development tools responsibly, investigate production issues, collaborate with stakeholders, and exercise independent technical judgment. Experience with AI agents, financial technology, and enterprise software is advantageous.

Build and operate infrastructure for evaluating coding agents and language models. Design end-to-end features spanning data models, APIs, background workers, and UI; run sandboxed trials; score and aggregate results; improve benchmark quality checks; integrate models and agents; and maintain performance, reliability, concurrency, migrations, tests, and code quality.

Build and operate Turing’s enterprise AI platform, including platform services, model gateways, multi-tenant infrastructure, CI/CD, infrastructure as code, deployment tooling, observability, and FinOps telemetry. The role supports reliable deployments across customer cloud accounts, dedicated instances, and sovereign environments. Responsibilities include production software engineering, on-call operations, incident response, secure platform design, and operational accountability.

Own and expand an enterprise CPG client relationship by identifying AI opportunities across operations, supply chain, and commercial workflows. Lead discovery, sell follow-on work, manage SOWs, pricing, margins, and delivery quality, and oversee embedded delivery teams. Build relationships with multiple buying centers, maintain accountability for business outcomes, and develop reusable platform capabilities. The role requires regular client-site presence, strong commercial ownership, recent AI or data deployment experience, and 8+ years in enterprise technology delivery or consulting.

Connects frontier AI model APIs to evaluation harnesses, runs large-scale benchmarks, analyzes model performance and failure modes, and translates findings into client reports. Supports technical pre-sales with AI labs, manages internal data systems and catalogs, curates datasets, audits provenance, and owns precise last-mile data packaging and delivery. The role requires strong Python, API, SQL, model evaluation, data manipulation, and client communication skills.

Own end-to-end delivery of scalable software features and services, from design through production operation. Design distributed systems, make key technical decisions, debug production issues, and improve reliability and performance. Lead code reviews, mentor junior engineers, uphold testing and design standards, and collaborate with product, design, and other teams. The role emphasizes cloud engineering, measurable system scale, strong ownership, and potential AI/LLM platform integration.

Lead Turing’s Enterprise AI Platform engineering organization, scaling the team to 8–10 members and hardening the platform for initial enterprise tenants. Deliver a model-agnostic, multi-tenant control plane with agent building, model serving, evaluations, FinOps, observability, guardrails, RBAC, and connectors across client-cloud and sovereign environments. The role requires hands-on LLM expertise, recent production coding, rapid hiring, regulated-enterprise security experience, and ownership of converting an internal platform into a licensed product.

Own product strategy, roadmap, prioritization, and execution across talent, marketplace, vetting, onboarding, trust, and platform workflows. Translate ambiguous problems into requirements, use data and experimentation to guide decisions, shape user experiences, and partner with engineering, design, data, QA, and operations to deliver scalable products.

Leads investor relations, IPO readiness, M&A, strategic investments, and capital allocation. Builds the company’s M&A playbook, ventures program, investor narrative, and related cross-functional processes. Partners with the CFO, CEO, board, product, engineering, and go-to-market teams on transactions, valuation, diligence, negotiations, integration, strategic planning, and build-buy-partner decisions.

Build machine learning systems that detect and de-identify sensitive information across text and image data. Develop data pipeline validation, adversarial test sets, regression gates, replacement pipelines, and audit processes. Measure precision, recall, leak rates, false negatives, and replacement consistency while investigating data quality issues across pipeline stages. The role requires strong Python, SQL, ML evaluation, privacy compliance knowledge, and experience with NER or similar detection systems.

Own Turing’s AI ecosystem partner channel, driving partner-sourced revenue, co-selling, referrals, pipeline, and enterprise account planning. Manage partner programs including onboarding, deal registration, certifications, tiers, funding, training, reporting, business reviews, and executive engagement. Coordinate competing technology partners fairly, ensure delivery commitments are staffed, and collaborate across sales, delivery, and industry teams. Build case studies, grow channel revenue, and potentially develop a partner team.