Aera Technology

Solutions Engineer

• Participate in requirements gathering workshops to understand the problem we are addressing
• Translate functional requirements into technical requirements
• Create technical design documents, process flows and data models to build scalable solutions
• Make sense of and harmonize both structured and unstructured data to create data model to use in analytics and technical solution
• Work with developers to ensure timely delivery of the solution
• Functional and technical validation of solution - integration testing, regression testing, performance testing and UAT
• Design strategy to extract and integrate data from source systems and to write back into the source system
• Create dashboards and reports to support decisions prescribed by Aera

Solution Architect

Software Engineer

• Build data crawlers to extract data from customers’ sources using Aera’s proprietary ETL platform, and troubleshoot the issues faced during data loading & processing
• Design and build data warehouse models in columnar databases
• Develop data pipelines using Python and SQL
• Work with Solution Architects to understand customers’ business requirements and implement them
• Perform data analysis for complex use cases using SQL
• Document technical specifications for the cognitive applications that we are creating for the customers
• Own the entire development and implementation workflow
• Ability to build a software user interface (UI) using the proprietary Aera UI builder

Skills Developer

Operations

• Act as the primary gatekeeper and incident manager for all open escalations during US hours.
• Proactively coordinate with internal teams to unblock stalled escalations.
• Partner with the Support Operations Manager to translate monthly governance reports into actionable tasks for our accounts.
• Manage the lifecycle of technical documentation by proactively monitoring open tickets.
• Act as the human-in-the-loop quality check for auto-generated Knowledge Base articles and automated account summaries.
• Maintain daily, highly detailed action trackers detailing internal blockers, daily interventions, and next-communication plans for every open escalation.
• Identify and help implement support process improvements.

Support Operations Specialist

Technical Writer

• Documentation Development: Create and maintain comprehensive product documentation, including user guides, release notes, API Guides, infographics, and training videos.
• Content Clarity: Translate complex technical concepts into clear, concise, and easily understandable documentation.
• UX Writing: Review and suggest improvements to user interface (UI) strings.
• Documentation Strategy: Contribute to the development of documentation strategies and best practices.
• Documentation Updates: Keep documentation up-to-date with product changes.
• Cross-functional Collaboration: Work closely with SMEs from different teams.
• Quality Assurance: Review and edit documentation for accuracy, consistency, and adherence to documentation standards in Aera.

Support Engineer

• Quickly learn the functional aspects of Aera’s product line
• Work on customer-reported issues by interacting with various teams including QA, App Development, Engineering, and Product Management
• Gather information systematically and efficiently and perform root cause analysis
• Communicate with customers on the status of issues and project items and be responsible for the ticket life cycle
• Responsible for respecting the defined SLAs we have with each customer
• Develop knowledge base articles for the use of internal team and external partners
• Participate in shift rotation
• Bring a positive, collaborative, team-oriented attitude

Technical Support Engineering Lead

Data Scientist

• Act as the senior technical point of contact, driving successful outcomes by identifying, scoping, and leading data science projects
• Measure and report on the business impact (ROI, efficiency gains) of deployed models
• Ensure rigorous testing and validation of all new data science features and model deployments
• Design, implement, monitor, and maintain scalable, production-grade Data Science systems
• Research and evaluate the latest in Machine Learning, Generative AI, and advanced statistical models
• Take ownership of critical model performance issues
• Provide data-driven feedback on model performance and usability

Senior Data Scientist

Product Designer

• User research & discovery: Plan and run interviews, task analysis, surveys; synthesize insights into personas, and opportunity maps.
• Information architecture: Define navigation, taxonomy, and content hierarchy; design flows for key journeys and edge cases.
• Interaction design: Create wireframes, user flows, and prototypes (low→high fidelity); specify component behaviors and micro-interactions.
• Visual & motion design: Establish visual hierarchy, layout, typography, iconography, motion principles; ensure consistency and craft.
• Design systems: Build and maintain reusable components, tokens, and patterns; partner with engineering for implementation parity.
• Accessibility: Design and review for WCAG compliance (contrast, focus, semantics, ARIA), keyboard/voice support, captions/alt text.
• Usability testing: Plan and run tests, A/Bs, heuristic reviews; translate findings into iterations.
• Content design: Write and structure UI copy, error messages, empty states, and onboarding.
• Dev collaboration: Provide specs, states, and assets; participate in sprint ceremonies, QA design.
• AI experience strategy: Identify where AI adds value (assist, automate, augment); prioritize use cases and define the “role” of the AI.

UX/UI Designer

• Lead the end-to-end design, development, and deployment of advanced machine learning and statistical models that deliver measurable business outcomes.
• Collaborate with cross-functional teams — including Product, Engineering, and Client Success — to define data-driven solutions, influence product strategy, and ensure seamless model integration within the Aera platform.
• Drive experimentation and innovation by exploring new algorithms, techniques, and technologies that enhance model performance, scalability, and interpretability.
• Translate complex analytical results into clear, actionable insights for technical and non-technical stakeholders, shaping business and product decisions.
• Define best practices for model governance, versioning, and monitoring to ensure reliability and compliance in production environments.
• Act as a subject matter expert and thought leader within Data Science, mentoring senior team members and fostering a culture of rigor, innovation, and continuous learning.
• Partner with leadership to define and refine Aera’s long-term data science roadmap, ensuring alignment with overall organizational and product strategy.
• Contribute to the evolution of Aera’s Data Science platform through experimentation, evaluation of new tools, and collaboration with Engineering teams.