The Business Intelligence Analyst supports the Data & Forward Planning organization by developing, maintaining, and enhancing network‑level analytics, dashboards, and data products.
Responsibilities
Develop, enhance, and maintain network analytics dashboards and reports supporting revenue forecasting, capacity planning, Win Room insights, and performance management.
Maintain and improve Power BI reports, data models, and reports; including performance optimization and user‑friendly design
Enable proofs of concept and new analytics use cases, supporting rapid iteration and continuous improvement of data products
Ensure data accuracy, completeness, and consistency across analytics outputs, underlying tables, and reporting logic
Leverage dashboards and tools to support business process improvement projects and enable data‑driven decision making
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with team members to design and implement AI-driven solutions that meet project requirements.
Continuously update knowledge on emerging AI technologies and incorporate best practices into development processes.
Lead the architecture of AI-enabled digital products, platforms and services, providing technical leadership across multidisciplinary squads and larger programmes.
Responsibilities
Own end-to-end architecture of AI-enabled products, platforms and services
Provide technical leadership throughout delivery, guiding multidisciplinary engineering teams
Identify and manage architectural risks, constraints, dependencies and technical debt
Design responsible, production-ready AI solutions with evaluation and monitoring
Collaborate across Enterprise Architecture, Security, Engineering, Data and Platform teams
The Automation Engineer on the Growth team partners with key accounts post-implementation to ensure value realization, drive sustained adoption, and design new workflows that solve complex business challenges.
Locations (2)
San Francisco, California, United States
New York City, New York, United States
Compensation
OTE Range: $130,000 - $165,000. This OTE represents the minimum and maximum for this role based in San Francisco and New York. The salary given for this position is dependent on multiple factors, including years of experience, interview performance and anticipated responsibilities. Our base salary is one component of Parabola’s competitive total package, which also includes equity and premium health and wellness benefits.
Responsibilities
Own post-implementation relationships for ~15-30 Mid-Market accounts
Monitor and analyze product usage and engagement metrics to assess account health and identify expansion opportunities
Partner with customer stakeholders to map organizational goals to functional initiatives and high-impact automation use cases
Quantify the value and ROI customers get from Parabola
Design, build, and deploy new workflows alongside customers
Lead offensive security research to develop and tune detection logic for AI-driven SDLC, collaborating with engineers, researchers, and AI/data scientists.
Responsibilities
Push modern AppSec forward by building and breaking detection logic
Collaborate with engineers, researchers, and AI/data scientists on next-generation detection
Take research ideas from prototype to production with minimal guidance
Explain complex attack paths to engineers and product managers
Tenure‑track or tenured faculty position at the Associate Professor level in the Department of Computer and Information Science and Engineering (CISE) at the University of Florida Jacksonville campus.
Compensation
Commensurate with Education and Experience
Responsibilities
Develop a high‑quality publication record at UF
Supervise Ph.D. students
Teach undergraduate and graduate courses in CISE
Contribute to the Department’s service activities
Develop an externally funded research program
Requirements
Ph.D. in Computer Science/Engineering or closely related discipline
Nice to have: Undergraduate degree in Computer Science/Engineering
This role involves owning the company's AI services ecosystem, from enterprise platforms like Claude and ChatGPT to agents and automated workflows. It bridges technical execution and strategic influence, shaping AI policies.
Compensation
Pay Range for this role: $163,910 to $192,840
Responsibilities
Administer and manage enterprise AI services including frontier LLM platforms such as Claude Enterprise and ChatGPT Enterprise — ensuring availability, security, licensing compliance, and appropriate access controls.
Design, build, deploy, and maintain AI agents and automated workflows that solve real business problems across departments.
Serve as the company's primary point of contact for AI-related requests, project needs, and questions from all business units.
Partner with department stakeholders to assess AI use cases, evaluate feasibility, scope solutions, and deliver implementations that align with IT standards and business objectives.
Collaborate with IT leadership to develop, maintain, and continuously improve the company's AI governance policies and acceptable use standards.
Requirements
Nice to have: Claude Certified Associate
Nice to have: Claude Certified Developer
Nice to have: AWS Certified AI Practitioner
Nice to have: AWS Certified Generative AI Developer Professional
Lead the technical roadmap and development of Android applications, integrating AI technologies and ensuring high performance for enterprise embedded systems.
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