Turing

Manager

• Act as the single point of contact between the Internal Delivery and Talent Fulfillment teams for assigned projects.
• Manage end-to-end fulfillment for multiple client requirements concurrently (typically 3–4 at a time).
• Conduct talent pool assessments and identify supply-demand gaps.
• Activate external sourcing channels (via partnerships or talent acquisition teams) when internal supply is insufficient.
• Oversee resource planning and capacity management, ensuring timely ramp-ups for customer-side roles.
• Collaborate with Delivery Leads to understand project requirements and talent expectations.
• Ensure data accuracy and visibility across systems — maintaining reports on hiring pipelines, fulfillment progress, and performance metrics.
• Track and report fulfillment metrics, including fill rates, turnaround times, and candidate quality.
• Partner with recruiting and sourcing teams to improve process efficiency and hiring velocity.
• Deliver a strong stakeholder experience, maintaining proactive communication and alignment on timelines and expectations.
• Continuously look for opportunities to improve internal talent fulfillment processes and introduce best practices.

Talent Manager – Non Code

Financial Planning and Analysis

• Build the BI org in Finance: Define the team charter, operating model, and hiring plan. Provide dotted‑line guidance to BI Analysts hired by Business Systems and transition them to direct management as the team scales.
• Own the metrics & semantic layer: Establish a governed KPI catalog (company, segment, function), metric definitions, and a single source of truth for exec reporting.
• Dashboards & self‑service: Design, build, and maintain executive and functional dashboards in Tableau or Looker (LookML); enable self‑service with curated datasets.
• Data quality & pipelines: Partner with Business Systems/Data Engineering to review ELT/ETL pipelines, implement tests/alerts, and ensure reliability, timeliness, and completeness across key sources (e.g., NetSuite ERP, Salesforce CRM, HRIS).
• Modeling for Finance: Create finance‑ready data models for revenue, opex, and headcount; manage master data, mapping tables, and dimensional design that align to the GL and cost‑center structure.
• Planning systems integration: Help set up and maintain our planning model (e.g., Anaplan); design data contracts and automated connectors from the warehouse to planning.
• Reporting cadence: Produce board/ELT reporting packages, variance bridges, and driver trees; automate recurring reporting with clear "so‑what" insights and owner actions.
• AI‑assisted analytics: Pilot anomaly detection, narrative generation, and reconciliation automations to accelerate monthly/quarterly cycles.

BI Manager, Finance

QA Automation Engineer

• Design and develop end-to-end IT automation workflows using tools such as Tines, Google Apps Script, and Python.
• Automate employee onboarding, offboarding, and access provisioning processes across systems like Okta, Google Workspace, Slack, and Zoom.
• Build event-driven automation pipelines for system alerts, user lifecycle management, and IT workflows.
• Integrate APIs across multiple SaaS and infrastructure platforms to enable real-time automation and data synchronization.
• Collaborate with Security and IT teams to implement Zero Trust and access automation using IdP integrations (Okta, Google Identity, Azure AD).
• Develop internal tools and scripts to reduce manual IT tasks and improve operational efficiency.
• Maintain automation logic, workflows, and configurations using version control and documentation standards.
• Implement monitoring and alerting for all automation pipelines to ensure reliability and performance.
• Research and adopt new automation frameworks, scripting techniques, and no-code/low-code tools to expand automation coverage.
• Create and maintain technical documentation, SOPs, and automation libraries for cross-team use.
• Automate the creation and maintenance of operational dashboards to provide real-time visibility into IT metrics, system health, and automation performance.

IT Automation Engineer

Operations

• Manage marketing channels to bring in human experts across diverse disciplines.
• Ensure a strong end-to-end talent experience by working on product management, communications, etc.
• Coordinate with vendors and strategic partners.
• Manage respective channel owners and ensure they are always unblocked.
• Analyze data to assess impact of solutions and improve operational efficiency.
• Oversee and align a distributed workforce of 100+ contributors towards project goals.
• Lead onboarding, training, and performance management of human data talent to maintain project quality.

Growth Operations Lead

Strategy

• Lead end-to-end delivery of large-scale AI data projects — from scoping and requirements to execution and delivery.
• Identify bottlenecks, iterate rapidly, and implement process improvements to enhance quality, efficiency, and cost-effectiveness.
• Develop scalable operational frameworks including incentive structures, training programs, and quality assurance systems.
• Collaborate with tooling and engineering teams to identify automation opportunities and strengthen delivery capabilities.
• Serve as the primary point of contact for leading AI research and operations teams.
• Build strong client relationships by ensuring transparency, anticipating needs, and proactively driving performance improvements.
• Deliver consistent, high-quality execution that strengthens trust and long-term client engagement.
• Manage and align large distributed teams (50–70+ contributors) to meet performance, quality, and delivery goals.
• Oversee onboarding, training, and performance tracking to maintain operational excellence.
• Utilize data-driven insights to continuously improve delivery metrics and optimize team efficiency.

Strategic Projects Lead

Growth Marketing

• Plan and execute multi-channel campaigns to acquire and activate talent, ranging from software engineers to PhD level physicists and chemists
• Manage performance across email, paid media, new job boards, and partnerships.
• Run experiments to uncover new growth levers and optimize ROI.
• Analyze campaign data and drive actionable insights.
• Collaborate with Product, Ops, and Growth teams to improve funnel performance.

Growth Marketing Manager

• Lead and manage large, cross-functional ML delivery teams (ML engineers, data scientists, MLOps, and annotators)
• Build scalable organizational structures and delivery mechanisms to support multiple concurrent ML/LLM programs
• Define clear KPIs, quality goals, and success metrics for every project stage
• Drive a culture of ownership, learning, and technical excellence through coaching, recognition, and gamified performance systems
• Own end-to-end delivery of large-scale ML projects — from planning and training through deployment and monitoring
• Translate research and product goals into executable delivery roadmaps
• Identify and resolve risks, blockers, and dependencies proactively
• Provide transparent reporting to senior leadership and research partners on delivery status, risks, and quality
• Ensure delivery excellence in data pipelines, model development, and evaluation frameworks
• Review ML architectures and promote best practices in reproducibility, experiment tracking, and model governance
• Analyze performance data and error trends to improve training efficiency and output quality
• Champion continuous improvement and innovation in ML delivery workflows
• Partner closely with AI researchers, data infrastructure, and product teams to translate research insights into production-grade ML systems
• Collaborate with engineering leaders to streamline compute usage, tooling, and resource allocation
• Contribute to design discussions around distributed training, fine-tuning, and scalable ML infrastructure
• Document and disseminate learnings to accelerate organizational ML maturity

Delivery Manager – DS/ML

Marketing Analyst

• Own cross-vertical DemandGen reporting, consolidating data from HubSpot, Salesforce, and Dreamdata to deliver visibility into funnel performance, lead quality, and marketing-sourced pipeline.
• Design, implement, and optimize HubSpot workflows and automations for lead scoring, routing, and nurture campaigns.
• Maintain data integrity across marketing tools ensuring consistent definitions, properties, and tracking for key funnel stages.
• Support the lead handoff and attribution process to ensure accurate tracking of marketing’s contribution to revenue.
• Collaborate with DemandGen managers to measure campaign effectiveness and optimize channel mix, targeting, and messaging.
• Write SQL queries for ad hoc analysis to support campaign performance deep dives, data validation, and attribution insights.
• Partner with Sales Ops and RevOps teams to align on reporting structures, dashboards, and automation processes.
• Identify and execute opportunities to improve marketing operations and data processes across verticals.

Growth Marketing Analyst

• Driving and owning critical initiatives end to end, i.e., from concept to strategy, execution, and scale up.
• Defining the strategy for initiatives, potential impact, success metrics, and go/no go.
• Defining and executing plans with key milestones and success metrics with close cross-functional coordination.
• Engaging with GTM, Engineering, Data Science, and Operations stakeholders to align project objectives, secure necessary resources, and drive project success.

Strategy & Ops Manager

Program Manager

• Problem Definition & Analysis: Lead the identification and definition of complex business challenges, whether they arise from delivery challenges (resource bottlenecks, technical obstacles) or customer-side issues (usability, satisfaction). Break down these challenges into smaller, manageable components and align teams toward clear goals and outcomes.
• Product Roadmap Management: Develop and maintain the product roadmap, aligning it with organizational goals. Adjust and adapt the roadmap based on changing business priorities, feedback from stakeholders, or unforeseen challenges.
• Customer-Centric Product Development: Develop a deep understanding of the product’s value to customers and clients. Ensure the product addresses customer pain points and drives business growth. Ensure that features and updates meet customer expectations.
• Operational Oversight: Oversee the execution of operational processes, ensuring all teams are aligned and accountable for meeting program objectives. Track progress and continually optimize workflows to enhance productivity and performance.
• Stakeholder Management & Communication: Actively manage relationships with key stakeholders, including development teams, designers, marketing, sales, customer support, and leadership. Facilitate clear and effective communication across teams to ensure alignment on goals and progress.
• Program Strategy & Reporting: Articulate complex business problems, product strategies, and program progress to both technical and non-technical stakeholders in a clear, concise, and compelling manner. Provide regular updates on program status, roadblocks, and solutions.
• Continuous Improvement: Proactively seek opportunities to improve the product and processes, drawing from customer feedback, performance metrics, and lessons learned. Drive ongoing optimization efforts to enhance product performance and user experience.

Business Operations

• Serve as the domain specialist and systems administrator for multiple SaaS applications to help the organization maximize efficiency and scale.
• Participate in implementation and integration projects working with multiple teams to refine user roles, permissions and controls
• Support testing and validation of new and existing functionality including configuration, development, and system releases.
• Provide outstanding internal support on system issues including system availability, and performance optimization
• Evaluate system capabilities, identify opportunities, and implement timely solutions to streamline business processes.
• Learn new systems and tools to improve processes and architecture
• Document requirements, design and analyze a variety of reports or queries. Design reports related to internal systems for management and audit purposes

Business Systems Administrator

General Counsel

• Negotiating and drafting sales and procurement agreements, such as master agreements, statements of work, vendor contracts, licensing agreements, and marketing agreements.
• Drafting new templates as needed and continually improving and maintaining existing templates.
• Creating and leading legal training for cross-functional teams, specially the Sales team.
• Working with the Legal Operations team to build scalability, contracting efficiencies, and best practices.
• Supporting cross-functional executives and teams from Sales, Product, Procurement, Engineering, Finance, and Marketing by identifying and mitigating legal issues for the ongoing commercialization of Turing’s business offering while helping to drive comprehensive, long-term strategies that balance growth and other business objectives with risk.
• Shaping and improving our legal processes that enable both legal and business functions to scale effectively.
• Assist with other legal matters on an as-needed basis, including advising internal teams on legal and regulatory compliance matters, including data protection, privacy, and intellectual property issues.

Commercial Counsel

Recruitment

• Lead, mentor, and coach a team of recruiters to achieve hiring targets across Delivery and R&D.
• Own individual requisitions while ensuring consistent high-quality delivery against hiring needs.
• Set, monitor, and report on team performance metrics and drive accountability for meeting shared goals.
• Partner closely with Delivery and R&D leadership to understand workforce planning, role requirements, and hiring priorities.
• Design and execute effective sourcing strategies to attract top-tier talent across technical and non-technical roles.
• Drive a data-driven recruiting culture, ensuring consistent use of metrics to track progress and improve outcomes.
• Collaborate with HR, People Ops, and business stakeholders to ensure smooth candidate experience and timely onboarding.
• Support employer branding initiatives to position Turing as an employer of choice in the global talent market.

Lead Recruiter

Engineering Manager

• Lead and manage large teams of Python, JavaScript, Java (and other long tail of languages) developers and data scientists to execute technical tasks effectively
• Lead delivery efforts to develop high-quality, foundational LLMs, focusing on Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) datasets
• Collaborate closely with researcher clients, ensuring their satisfaction with the delivered work
• Maintain rigorous review processes to ensure the highest quality of datasets
• Oversee the transition of projects from initiation to stable states, taking full responsibility for delivery
• Identify and implement measures to enhance the quality of Python/JavaScript/Java code within the team
• Ensure the team’s work is of high quality, addressing issues related to the clarity of questions, methodology, result communication, or bugs
• Optimize outcomes in terms of quality, throughput, and cost for SFT and RLHF pipelines

Data Scientist

• Lead design, implementation, and maintenance of data science workflows and pipelines
• Conduct advanced analysis on extensive structured and unstructured datasets to drive actionable insights
• Collaborate with product, engineering, operations, and design stakeholders to align business goals with data-driven solutions
• Transform complex analyses into clear narratives and visualizations to inform executive and operational decision-making
• Participate in product experimentation, opportunity analyses, and metric development
• Guide data-driven initiatives impacting Turing’s vetting and fulfillment operations and scale solutions for a 3M+ global talent cloud
• Deliver iterative value in a fast-paced environment

Artificial Intelligence

• Lead Turing’s Generative AI practice, ensuring the execution of high-impact programs with enterprise clients.
• Interact with clients to ideate and design AI solutions to help solve enterprise problems
• Own the oversight for design, build and deployment of GenAI-powered applications, including agentic systems, copilots, reasoning workflows, and enterprise orchestration frameworks.
• Lead and manage Generative AI and Forward-Deployed Engineering teams, ensuring delivery excellence and clear growth opportunities while staying closely engaged in critical program and design decisions.
• Build trusted partnerships with senior enterprise stakeholders, shaping program objectives and aligning with their business transformation and productivity goals.
• Define and enforce rigorous engineering standards, methodologies, and quality management processes to ensure reliability, scalability, and security across enterprise GenAI applications.
• Translate engineering & delivery experience into repeatable playbooks and best practices that establish Turing as a trusted partner for deploying applied GenAI solutions at scale.
• Partner with commercial teams to scope, shape, and resource programs, ensuring engineering capability scales with client demand.
• Act as the accountable executive for engineering & delivery excellence in Generative AI applications, representing Turing with credibility and authority to senior external stakeholders.

Head of Generative AI

Product Manager

• Collaborate with Business leaders and fellow Product Managers to understand Turing’s enterprise product strategy and the essential role your internal tooling team plays in enabling it.
• Own the end-to-end experience for the internal systems and tools your team delivers, ensuring they drive efficiency, reliability, and scalability across the organization.
• Translate complex technical concepts about our tooling infrastructure into clear, actionable insights for non-technical stakeholders across departments.
• Continuously refine and prioritize your product roadmap based on deep user research, data-driven insights, and input from business stakeholders—balancing trade-offs to deliver the highest organizational value.
• Write clear, high-quality epics and user stories with well-defined acceptance criteria, delivering capabilities that empower teams to work more independently and reduce reliance on manual support.
• Partner closely with engineering leadership to align technical direction with product goals, integrating both into the roadmap and backlog with precision.
• Work hand-in-hand with your engineering team in an Agile environment to design, plan, and deliver impactful internal tooling solutions.
• Collaborate with Product, Program Management, and Operations teams to clarify scope, dependencies, and technical requirements for each initiative.
• Define measurable product success metrics to track adoption, performance, and impact of your tools across the business.
• Build trust and rapport with teams across the organization, fostering strong partnerships that ensure alignment and shared success.

Enterprise Product Manager

Paralegal

• Assisting with the implementation as well as the enhancement of legal and compliance policies including: data retention, privacy, security, legal billing, and management.
• Identifying legal operations needs and solutions
• Identifying scalable legal operations tech tools and implementing them.
• Actively managing legal bills and outside counsel spending, eventually leveraging tech tools & data to do so.
• Assisting with research and investigations including gathering information and preparing draft reports at the direction of counsel.
• Representing the Legal dept in cross-functional meetings.
• Managing Turing Legal’s institutional knowledge and historical advice
• SLA identification, reporting, and driving team accountability
• Preparing department reports for leadership to increase accountability and identify opportunities to increase efficiency.
• Managing Legal programming (e.g. legal & compliance training- company wide)
• Support in administering Turing’s stock plan
• Other paralegal and litigation support work as necessary

Marketing

• Marketing Operations Support: Manage foundational processes to ensure smooth and efficient delivery of marketing initiatives.
• Swag Fulfillment: Coordinate and execute swag orders and distribution for internal and external initiatives.
• Email Execution: Assist with building, scheduling, and deploying email campaigns in alignment with brand standards.
• Reporting: Compile and maintain basic marketing performance reports and dashboards to support decision-making.
• Event Logistics: Provide operational support for marketing events, including vendor coordination, shipping, and on-site logistics.
• List Coordination: Maintain and organize marketing contact lists to ensure accuracy and alignment with campaign objectives.
• Cross-Functional Collaboration: Partner with other departments to support marketing requests and ensure seamless execution.

Marketing Coordinator

• We’re looking for a digitally-forward, full-stack marketing leader to own the end-to-end marketing strategy for Turing Talent. You’ll help define the brand in the market, generate demand, and support our sales motion by activating content, campaigns, and messaging that resonate with technical leaders and business buyers.
• You’ll report to the VP of Marketing for Turing Intelligence and partner closely with cross-functional stakeholders to relaunch our digital presence, build a scalable inbound/outbound engine, and help drive revenue in key verticals such as AI, automotive, healthcare, and consumer products.
• Own and execute digital and integrated marketing campaigns that generate qualified pipeline and grow brand credibility.
• Shape messaging and positioning that resonates with technical and business audiences, including founders, engineering leaders, and enterprise buyers.
• Lead updates to landing pages and website experience to communicate our value clearly and increase conversion rates.
• Manage full-funnel programs across content, email, events, and paid media.
• Partner with Sales to align messaging and accelerate outbound efforts with tailored campaigns and assets.
• Ensure CRM health, proper lead routing, and campaign attribution in collaboration with Product Ops and RevOps.
• Monitor campaign performance rigorously, with clear reporting on funnel metrics and KPIs.
• Track both direct and indirect attribution to ensure complete visibility into ROI.
• Analyze each channel’s effectiveness and adjust strategies quickly based on data.
• Optimize spend across platforms to drive the highest return on investment.
• Ensure all marketing activities comply with data privacy standards (e.g., GDPR) and platform policies.
• 5+ years in B2B marketing, ideally in demand gen, product marketing, or ABM roles
• Proven track record of executing multi-channel campaigns and generating measurable results
• Excellent writing, storytelling, and positioning skills for both technical and business personas
• Experience managing digital programs end-to-end, from planning to creative to optimization
• Ability to partner cross-functionally with Sales, Product, and Ops to support go-to-market execution
• Familiarity with the AI landscape, technical hiring, or developer tools is required - add staff aug, recruiting services, etc Familiarity with the AI landscape, technical hiring, developer tools, staff augmentation, or recruiting services is required
• Hands-on experience with HubSpot, LinkedIn Ads, Google Ads, and/or other marketing automation tools