Consumer Edge

Full-stack Engineer

• Architect and maintain platform-level services that power data and application delivery.
• Develop tools for provisioning, monitoring, and automating infrastructure at scale.
• Build reliable APIs and frameworks that support product teams company-wide.
• Ensure security, scalability, and observability in cloud-native environments.
• Collaborate with DevOps and backend teams to standardize deployment pipelines.
• Lead architecture discussions and mentor engineers on platform design.
• Support incident response and drive continuous improvement of infrastructure practices.

Staff Software Engineer

• Develop new user-facing features
• Work on backend services, data pipelines, and cloud infrastructure
• Keep up to date with the latest developments in AI models and architectures
• Contribute to the vision and ensure the technical feasibility of product requirements
• Optimize the system for accuracy, speed and user experience
• Collaborate with other team members and stakeholders
• Collaborate with other teams both at the input side and the output side of our systems

Principal Software Engineer

• Build and optimize data-driven web applications in TypeScript, React, and Node.js.
• Design APIs and backend integrations for data pipelines and AI services.
• Maintain strict TypeScript standards and shared UI libraries.
• Collaborate with design and data teams to translate requirements into technical solutions.
• Enhance application performance and developer experience.
• Write automated tests and ensure CI/CD compliance.
• Mentor junior engineers and participate in architecture reviews.

Senior Software Engineer

Data Scientist

• Develop and evaluate AI and LLM applications for retrieval, generation, and conversation.
• Build evaluation pipelines and establish robust measurement standards.
• Collaborate with Software Engineers to productionize models.
• Research prompt strategies, fine-tuning approaches, and RAG architectures.
• Define metrics and experiments that connect model performance to user impact.
• Document and communicate findings to technical and business stakeholders.
• Mentor junior scientists and champion data quality standards.

Staff Data Scientist

• Lead the end-to-end development of machine learning pipelines for large-scale entity resolution, record linkage, and data matching.
• Apply and customize advanced NLP techniques (e.g., entity extraction, semantic similarity, text vectorization, fuzzy matching) to compare and match entities from structured and unstructured text.
• Engineer scalable and efficient data processing and model inference systems designed to handle terabyte scale datasets using cloud-native tools.
• Deploy, monitor, and maintain ML models and data pipelines in production on GCP (e.g., Vertex AI, BigQuery, Dataflow).
• Collaborate closely with product managers, data engineers, and business stakeholders to scope new projects, define data requirements, and establish success metrics.
• Create clear, comprehensive design documents and effectively communicate complex technical concepts, trade-offs, and results to both technical and non-technical audiences.

Staff Software Engineer, NLP

Content Marketing Manager

• Develop and implement a comprehensive global content strategy aligned with company objectives, business priorities, marketing initiatives, and revenue goals
• Create and oversee production of diverse content assets: whitepapers, reports, case studies, blogs, infographics, videos, and webinars
• Build and manage an editorial calendar that aligns content production with product launches, campaigns, and market moments
• Leverage SEO, intent data, and analytics to guide content development and maximize discoverability, reach, and engagement
• Oversee social media strategy and execution, ensuring content is tailored for each platform to drive brand awareness, thought leadership, and demand generation
• Monitor search performance and competitive rankings, leveraging analytics and keyword insights to refine editorial calendars, content clusters, and thought leadership initiatives
• Establish and enforce content governance, including messaging consistency, brand voice, and compliance standards across global regions
• Work closely with Product, Sales, and Executive stakeholders to create content that is accurate, differentiated, and strategically designed to influence buyer decisions, nurture key accounts, and accelerates pipeline growth across target segments and ICPs
• Drive storytelling frameworks that simplify complex data and insights and translate it into compelling content for target audiences
• Optimize content distribution across channels, including digital, email, social, and events
• Measure performance of content initiatives against marketing and sales goals, calculate and optimize ROI, and provide insights for continuous improvement
• Lead, mentor, and develop team members and manage content creators, editors, and freelancers
• Collaborate with events and demand generation to repurpose content for industry conferences, speaking opportunities, marketing campaigns, and PR initiatives
• Develop content programs that elevate customer voices, including testimonials, case studies, and user-driven thought leadership.

Director, Content Marketing

Account Manager

• Serve as the primary point of contact for assigned client accounts, building strong, long-term relationships
• Track key deliverables and maintain accurate records in CRM and internal systems
• Manage the full client lifecycle, including onboarding, training, renewals, upsells, and cross-sells
• Develop a deep understanding of client goals, challenges, and industries to proactively recommend solutions
• Partner with internal teams (Product, Marketing, Operations, Customer Success) to deliver exceptional service
• Lead contract negotiations and renewals, ensuring client retention and revenue growth
• Provide feedback to Account Management leadership and Product teams based on client needs

Account Manager, Corporate

Product Analyst

• Develop and maintain quarterly forecasting for public equities in the pharma and biotech sectors
• Develop industry-leading content and forecast revenue and patient trends for public equities in biopharma and medtech
• Participate in and ultimately lead client calls; interface directly with clients to share insights and analyses
• Generate industry-leading insights pertaining to trends in the healthcare economy
• Partner with the commercial team to manage client questions and requests
• Collaborate with engineers on data QC (ensuring data accuracy) and new feature development
• Assist with assessing new potential healthcare datasets

Product Analyst, Healthcare

• Translate designs to actual code that will produce visual and functional elements of the application
• Work with UI/UX team, Product Managers and other Frontend and Backend engineers to bridge the gap between graphical design and technical implementation
• Develop new user-facing features
• Build reusable UI components and packages for future use
• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Collaborate with other team members and stakeholders
• Own the full release cycle from development to deployment
• Build internal tooling that empowers data analysts and product managers to add insights and analyse our data
• Influence technical design, visual design and implementation details
• Work EST hours as required by the role

Product Manager

• Translate user needs into product solutions and ensure measurable business impact
• Lead a team of data engineers, software engineers, data analysts and data scientists
• Drive strategic planning, road mapping, sprint management, delivery, communications and reporting
• Own weekly sprint planning, monthly alignment meetings, and quarterly roadmapping
• Prioritize initiatives based on impact, effort, and stakeholder needs
• Define the vision, goals, and KPIs for team products
• Lead and coordinate multidisciplinary teams and ensure clear communication of priorities, goals, and timelines
• Facilitate collaboration between engineering, analytics, and business teams
• Prepare and present product updates, roadmaps, and results to executives
• Support executive-level cost tracking and reporting to guide budget decisions
• Maintain transparency on progress, risks, and trade-offs

• Define and deliver the Store Location Analytics roadmap aligned to CE’s strategy.
• Build features supporting client use cases: measuring spend, customer counts, and share at the individual store level; competitive benchmarking across trade areas and overlapping store footprints; evaluating cannibalization and performance impacts of new store openings or closures; identifying white space opportunities for store expansion; comparing urban vs. suburban vs. rural store performance; understanding shopper cross-shopping between a retailer’s stores and competitors nearby.
• Enable robust mapping of consumers to their most-frequented stores and rollups to CBSA, DMA, or region when needed.
• Translate client needs into clear product requirements, prioritize roadmap items, and guide features from concept to launch.
• Ensure store analytics are accessible through CE’s Dash interface and AI Copilot for natural language queries and visualizations.
• Act as the voice of the customer, engaging with retailers, CPGs, and investors to validate use cases and refine features.
• Work with engineering and data science to deliver store-level accuracy, scalability, and performance.

Staff Software Engineer

Principal Software Engineer

Senior Software Engineer

Staff Data Scientist

Staff Software Engineer, NLP

Director, Content Marketing

Account Manager, Corporate

Product Analyst, Healthcare

Senior Software Engineer

Product Manager

Product Manager, Location Analytics