LILT

General Counsel

• Act as key advisor for the Commercial and Government Field Sales and Deal Desk teams
• Manage deals from concept to booking, including deal structure, quoting, pricing, and partnering with the Sales team to ensure the deal is correctly booked
• Maintain and enforce agreed-upon departmental review and approval SLAs
• Assist in interpreting contractual language and escalate to ensure deals comply with revenue recognition and operational policies
• Oversees the Sales deal queue to provide assistance and advice on complex deal questions, maintain SLAs, and handle complex and/or non-standard requests
• Partner with Sales Operations and Sales Systems teams to facilitate process and system improvements, sales enablement
• Deliver relevant training to new and existing Sales reps on Deal Desk and Order Booking
• Oversee management and negotiation of contracts with third-party vendors and contractors
• Manage LILT’s Vendor Management Program and mitigate risk exposure from Vendors
• Manage LILT’s Compliance Program and ensure LILT meets all the required regulatory requirements in the countries in which LILT operates
• Provide thought leadership on the emerging regulatory environment in the AI policy space and advise LILT’s leadership team to ensure LILT is best positioned to navigate the regulatory landscape

Head of Legal

Support Engineer

• Assist linguists and platform-only customers with day-to-day platform questions, including running jobs, opening and processing files, and navigating the LILT interface.
• Investigate and reproduce reported errors, filtering and documenting bugs clearly before escalating to the Engineering team. Communicating feature requests to Product.
• Handle incoming support requests in a timely manner, meeting SLAs and keeping customers informed throughout.
• Document and relay frequent customer pain points or feature suggestions to drive ongoing platform and process improvements.

Customer Support Engineer

Business Development Rep

• Taking ownership for building top-of-funnel sales opportunities for the sales team from a curated list of qualified business prospects through highly-targeted and personalized messaging
• Strategizing with top-producing Account Executives to target prospect accounts to fill the pipeline and build account plans
• Managing a high volume of highly-personalized activity, including email segments, calls, and video messages, with the ultimate goal to set meetings with qualified customers that turn into qualified opportunities
• Collaborating closely with our sales and executive team to ensure success down-funnel and better inform lead generation activities based on deals won and lost
• Experimenting and iterating to create high-converting, personalized customer introductions to reach hard-to-reach prospects
• Managing sales lead data in Outreach and Salesforce to provide visibility to optimize lead generation activities
• Based on performance in the ADR role, beginning progression to Account Executive responsibilities.

Account Development Representative, ADR

Implementation Specialist

• Own your team’s SLAs and KPIs and iterate to great business outcomes. You favor speed. Regularly report on progress and make proactive business cases to improve the situation.
• You are an effective manager. You are able to provide your employees with leverage through your interactions. You coach people to grow and achieve their aspirations, including developing them professionally.
• You are constantly evolving our localization engineering processes to bring a competitive advantage to Lilt. You ensure the feedback loop from customer to engineering team is short and impactful.
• You collaborate with employees across the company to be the point-of-contact for your team. You present the localization engineering team's vision effectively and lead your team to handle the localization engineering queue in a timely fashion.

Senior Manager, Customer Engineering

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

• 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.