LILT

Product Manager

• Define and execute the vision and strategy for Applied AI production operations
• Lead end-to-end production operations for Applied AI, ensuring on-time, high-quality delivery
• Build, mentor, and scale a high-performing production team, including project managers, data specialists, and quality assurance professionals
• Design and implement standardized processes, workflows, and quality frameworks across production teams
• Optimize resource allocation, prioritization, and capacity planning to maximize team productivity
• Establish metrics and KPIs to measure operational efficiency, quality, and business impact
• Communicate value, progress, and strategic initiatives effectively to executive stakeholders
• Drive continuous improvement initiatives and identify opportunities for innovation

Head of Production, Applied AI

Research Engineer

• Eval Architecture & Benchmarking: Design and implement automated and human-in-the-loop evaluation frameworks to measure model performance across multiple modalities (text, code, image, etc.).
• Calibration & Peer Review: Act as the Gold Standard reviewer for other engineers. You will calibrate their data generation and evaluation contributions, providing technical feedback to ensure scientific consistency and high-fidelity output.
• Frontier Sample Generation: Write and refine complex prompts and golden response pairs for frontier-model training, specifically focusing on edge cases in reasoning and multilingual contexts.
• Quality Control (End-to-End): Develop the logic for multi-modal QC checks, ensuring that high-volume data samples are correct across diverse domains and languages.
• Technical Mentorship: Bring new knowledge and best practices to our established delivery and forward-deployed engineering teams on model evaluations.

Research Engineer – Evaluations, Applied AI

Support Engineer

• Be a key source of knowledge on the LILT platform and APIs, the underlying web-stack technologies, and industry-standard integration methods and best practices.
• Interact regularly with Engineering, Production, and cross-functional management on high-profile technical issues to the product support team.
• Reproduce customer issues, file bug reports, and coordinate the delivery of fixes.
• Analyze customer data, including log files, stack traces, browser traces, and thread dumps.
• Be an internal product advocate, track product processes, and contribute to the platform, feeding back feedback and issues you get back from LILT platform users
• Author knowledge base articles and drive internal knowledge-sharing initiatives.
• Be prepared to work in a 24x5 shift environment

Technical Support Engineer

Performance Marketing

• Own the end-to-end strategy, execution, and iteration of a repeatable demand engine.
• Build and automate high-impact digital programs across paid and organic channels.
• Lead experimentation efforts to optimize the marketing funnel and ensure data-driven governance.
• Collaborate closely with Sales, ADRs, and Marketing Operations to convert interest into qualified pipeline.
• Own the tracking architecture for campaigns, ensuring clear ROI visibility.
• Partner closely with Marketing Operations to define lead scoring and automated routing logic.
• Work closely with ADR team to convert MQLs into pipeline.

Demand Generation Manager

Technical Program Manager

• Lead the end-to-end execution of high-priority technical programs for frontier AI labs, managing the delivery of massive-scale datasets and bespoke engineering milestones.
• Architect and oversee pipelines for delivering high-volume data samples across multiple modalities (text, image, video, audio), ensuring strict adherence to delivery cadences without sacrificing precision.
• Partner with production to implement rigorous, automated, and human-in-the-loop QC frameworks to ensure data integrity across various domains and languages.
• Lead technical workstreams to deliver custom research and engineering improvements via the forward-deployed engineers, such as RAG (Retrieval-Augmented Generation) workflow optimizations, model evaluations, and synthetic data generation.
• Oversee projects involving Reinforcement Learning (RL) environments, ensuring the infrastructure and human-feedback loops are optimized for model alignment and performance.
• Serve as the primary technical point of contact for AI researchers and engineers at partner labs, translating complex research needs into actionable engineering roadmaps.
• Bridge the gap between forward-deployed engineering resources, research, and production teams to ensure LILT can serve the needs of the frontier AI market.

Senior Technical Program Manager, Applied AI

Business Intelligence Developer

• Drive the implementation of Sigma as LILT's BI platform, including dashboard migration, workspace design, and new dashboard development
• Design and build data transformation layers to ensure reliable, consistent reporting
• Create production-grade dashboards and reports that translate business requirements into actionable insights
• Own complex BI integrations including Sigma, BigQuery, Salesforce, and other business systems
• Build elegant, intuitive dashboards that adhere to LILT's visualization standards and UX best practices
• Translate complex business questions into clear visual analytics that drive action
• Optimize dashboard performance and query efficiency
• Develop self-service analytics capabilities that reduce dependency on the BI function
• Triage and prioritize incoming BI requests based on business impact, urgency, and strategic alignment
• Manage SLAs
• Maintain and communicate backlog status, blockers, and trade-offs to stakeholders
• Partner with BI contributors (and, when relevant, Data Engineering) to align on requirements
• Act as a BI contact for cross-functional stakeholders (Revenue, Production, Finance, Product teams)

Business Intelligence Analyst

Payroll

• Run multiple biweekly, semimonthly, and monthly global payroll cycles across multiple countries and worker types (exempt and nonexempt employees + contractors)
• Partner with payroll systems and providers to ensure correct setup and execution
• Collect, validate, and process payroll inputs, including:
• - new hires and terminations
• - salary changes
• - bonuses and commissions
• - timecards
• - unpaid leave, sick leave, PTO adjustments
• - reimbursements and one-time payments
• Maintain accurate payroll records and audit trails for Finance and compliance
• Ensure payroll changes are properly reflected in HRIS and payroll systems
• Coordinate with Finance on payroll funding, approvals, and reporting
• Support payroll reconciliations
• Help ensure compliance with local payroll regulations, tax filings, and statutory requirements (in partnership with providers)
• Respond to employee payroll questions (pay slips, deductions, timing, etc.) in a professional and timely way
• Identify process improvements and implement scalable payroll workflows
• Oversee state-level payroll compliance, including managing correspondence, registrations, and verification requirements across all current and future operating jurisdictions.
• Administer retirement plan funding for the U.S. and U.K., ensuring timely, accurate uploads and ongoing compliance with local regulations.

Global Payroll Specialist

Engineer

• Lead the technical aspects of onboarding new enterprise clients, including system integration, API configuration, and workflow optimization.
• Collaborate with Sales, Solutions Architects, and Product teams to design and implement customized LILT solutions that meet specific client requirements, driving their business outcomes.
• Ability to gather requirements, propose a product solution, and implement it via code on-site with customers.
• Provide on-site technical support and training to client teams, ensuring successful adoption and utilization of the LILT platform.
• Serve as the primary technical point of contact for escalated client issues, diagnosing problems, implementing solutions, and ensuring timely resolution.
• Provide expert technical consultation and guidance to clients on how to best leverage LILT's features and capabilities within their environment, focused on addressing complex, enterprise workflows.
• Act as a crucial feedback channel, relaying client needs, technical challenges, and product improvement suggestions back to the core Engineering and Product teams.
• Create and maintain comprehensive technical documentation, including integration guides, best practices, and troubleshooting steps. Contribute to internal knowledge sharing initiatives.
• Be willing and able to travel frequently (up to 25-35%) to client sites globally.

Forward Deployed Engineer

Technical Writer

• Act as the primary translator between LILT’s high-level computational breakthroughs and our global audience.
• Collaborate as a peer with our Research Team.
• Digest market whitepapers, published papers, experimental data, and new LLMs to produce technical marketing material, research blogs, and "State of the Art" reports.
• Gather information, write, and review content for the LILT Knowledge Base, ensuring technical accuracy in descriptions of our LLM Benchmarks, model assessments, and adaptive AI products.
• Liaise with GTM to produce content for a variety of consumers, from technical customers, buyers, product leaders, and enterprise AI leaders.
• Use your industry knowledge to inform content and informational messaging strategies, whether for pitch decks or for advertising.

Technical Writer – Research

Recruitment

• Drive the expansion of our expert linguist and contributor community
• Own strategy and execution across acquisition, activation, and lifecycle engagement
• Design and lead multi-channel growth programs that attract and retain world-class linguists
• Optimize the full contributor journey — from acquisition to onboarding to long-term engagement
• Balance growth with quality, embedding data-backed evaluation frameworks that uphold LILT’s standards for linguistic excellence and accuracy