AILY LABS

Solutions Engineer

• Act as the finance domain expert and solution architect for Aily App finance modules
• Drive client value realization by leading product deployments
• Define and own data requirements, data collection, and AI fine-tuning needs
• Act as the trusted finance domain expert for clients and internal Product and AI teams
• Drive rollouts from entry-point finance use cases to enterprise-wide adoption

Senior / Principal Business Impact Lead – Finance, AI Solution Architect

• Act as the R&D domain expert and solution architect for Aily App modules
• Internally: Translate R&D routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact R&D use cases
• Externally: Drive client value realization by leading deployments, guiding R&D data readiness, validating AI through portfolio and clinical leadership feedback, upskilling R&D managers and executives, and accelerating time to value
• Define AI outcomes and R&D decision quality standards
• Co-shape scalable product capabilities across research, portfolio, and clinical use cases
• Partner with Product, ML, and Engineering on feasibility and R&D operational readiness
• Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value
• Influence the product roadmap through client impact and adoption insights
• Act as the trusted R&D domain expert for clients and internal Product and AI teams
• Be the trusted advisor to Chief R&D Officers, Heads of R&D, portfolio leaders, clinical operations heads, and innovation executives
• Represent R&D user needs in product and roadmap discussions
• Communicate AI and data topics, assumptions, and trade-offs in clear business language
• Drive rollouts from entry-point use cases to enterprise-wide adoption
• Own time to first active user and time to routine across R&D deployments
• Upskill and evangelize R&D users through workshops, executive sessions, and engagement campaigns
• Ensure AI becomes embedded into daily R&D governance, portfolio, and clinical decision-making cadences

Senior/Principal Business Impact Lead – R&D, AI Solution Architect

Data Scientist

• Design and implement end-to-end data pipelines
• Mentor junior team members
• Communicate and align with stakeholders

Lead Data Scientist

Chief Marketing Officer

• Define and own the overall event marketing strategy, ensuring alignment with enterprise sales, marketing, and company growth objectives.
• Develop and manage an annual strategic events calendar, identifying key opportunities to engage target accounts and industry leaders.
• Establish KPIs and success metrics for all events, ensuring clear ROI and pipeline impact.
• Own end-to-end event operations, including detailed project plans, timelines, budgets, resource allocation, and risk management.
• Lead the planning and flawless execution of a wide range of events: executive dinners, private forums, curated networking experiences, hackathons, summits, industry conferences, and VIP client experiences.
• Partner closely with sales leadership to design events that support pipeline generation and relationship-building with key enterprise accounts.
• Collaborate with demand generation, content, and brand teams to align event messaging, promotion, and follow-up campaigns.
• Gather feedback from participants, stakeholders, and internal teams to assess event success. Analyze performance metrics, pipeline contribution, and ROI; prepare detailed reports and executive summaries.

Event Marketing Director

Analytics Engineer

• Lead the design, implementation, and long-term ownership of complex, multi-tenant data platforms
• Build robust data components using advanced Python for APIs/orchestration and expert SQL for transformation and normalization layers
• Establish and enforce global data engineering standards and quality frameworks
• Drive continuous improvements in data infrastructure, modeling, and tooling
• Mentor junior team members and define best practices for tooling and data craft

Senior Data Practitioner – Data, Analytics Engineering

• Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery)
• Build and maintain data components (event-driven ingestion, transformations, APIs, catalogs)
• Write SQL-first transformations and Python for orchestration/API logic
• Implement data quality in the pipeline for validation, monitoring, and alerting systems at scale
• Optimize data models for performance, cost, and reliability across datasets
• Collaborate with Junior/Intern team members

Mid Data Practitioner, Data – Analytics Engineering

• Ensure AI is solving the right problems
• Use the right approaches and drive measurable impact
• Collaborate with teams across finance, supply chain, R&D, and commercial

Mid Data Scientist

Recruitment

• Act as a trusted partner to our managers, assisting them in attracting and building high-performing teams while fostering the growth of our employees.
• Lead and refine the full-cycle recruitment process across multiple teams, including Sales, Marketing and Business Impact, ensuring a smooth, positive candidate experience.
• Strategically plan and execute innovative sourcing strategies to find talent from non-traditional and diverse sources.
• Act as a consultant to hiring managers, providing insights and recommendations on best hiring practices, market trends, and compensation strategies.
• Take ownership of key recruitment processes, including sourcing, screening, interviewing, and selecting top talents.
• Identify and attract top talents while working closely with management to nurture their growth and ensure that people-related initiatives deliver value and results.
• Collaborate with cross-functional teams to drive process improvements and identify opportunities for enhancing recruitment effectiveness.

Senior Commercial Recruiter

AI Engineer

• Build and deploy a wide range of AI solutions end-to-end
• Own the full lifecycle of every solution
• Collaborate closely with the AI Platform team
• Communicate progress and findings clearly
• Produce lightweight documentation and run enablement sessions

Applied AI Engineer – AI Enablement

AI Research Scientist

• Experiment & Build: Design, set up, and execute experiments focusing on LLMs, Agentic AI, model fine-tuning, and broader ML systems.
• Algorithmic Debugging: Actively investigate why a model isn’t converging, why outputs are inconsistent, or why results are unreliable across different ML architectures.
• Code Quality: Write clean, modular code (effective use of classes, functions, and documentation) following strict software engineering best practices.
• Autonomous Delivery: Deliver projects with a high degree of autonomy.

Senior AI Research Engineer – Agents Team

• Translate business needs into technical requirements
• Design, develop, and implement statistically grounded methodologies to address business needs
• Debug and problem-solve issues to ensure the delivery of accurate metrics
• Create and document reusable packages and libraries
• Dive into technical problems and figure out solutions that make our product meaningful