The Senior Revenue Operations Analyst acts as the analytical engine behind the GTM organization, owning pipeline reporting, forecasting, Salesforce environment management, and GTM tech stack, as well as supporting annual territory, quota, and capacity planning.
Responsibilities
Define and own the core GTM metrics framework, measuring performance from first lead engagement through pipeline, bookings, and revenue.
Run full-funnel analysis from lead to closed-won to renewal, including win/loss, deal velocity, discounting, and pricing trends.
Build rep and team productivity analyses: ramp time, activity-to-outcome ratios, attainment distribution, and capacity utilization.
Perform cohort and segment analysis (by industry, region, deal size, product, and channel) to guide where to invest.
Build reporting and dashboards that join CRM, marketing, product usage, and finance data into a single view of the business.
A high-level technical role focused on leading architecture and designing scalable distributed systems using Java, Spring Boot, and AWS, while integrating AI-powered capabilities.
Compensation
The anticipated compensation range for this position is - $136,100 - $147,800 CAD- annually.
Responsibilities
Lead the architecture and design of scalable, highly available, fault-tolerant distributed systems using Java, Spring Boot, microservices, and AWS.
Drive end-to-end system design, including API contracts, data modelling, service boundaries, integration patterns, and deployment architecture.
Apply Domain-Driven Design (DDD), event-driven architecture, object-oriented principles, and established design patterns.
Design and optimize RESTful APIs, asynchronous messaging systems, and event-driven integrations using Kafka and other messaging technologies.
Make architectural decisions involving scalability, consistency, performance, reliability, security, and cost optimization.
Requirements
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
This role combines customer experience analytics, customer research, and experimentation to uncover actionable insights that improve digital & product experiences, plus business outcomes.
Responsibilities
Analyze customer experience behavior across web and app experiences to identify patterns, friction points, unmet needs, and opportunities for improvement
Access, connect, and interpret multiple data sources to develop a more holistic understanding of customer behavior and experience - both solicited and unsolicited customer feedback
Use Amplitude and other behavioral analytics tools to investigate customer journeys, funnels, conversion, engagement, abandonment, and feature adoption
Develop and govern CX measurement and analytics frameworks across key experiences, including CSAT, NPS, CES, behavioral measures, and operational KPIs
Identify experience driver analysis, the operational, behavioral, and experience factors that have the greatest influence on customer outcomes
Seeking a dedicated Application Developer for the Nebraska Department of Transportation to build applications in support NDOT’s business units using Agile methodology.
Responsibilities
Explore and gain a thorough understanding of the business
Troubleshoot problems and provide support on existing products and services
Work as part of a software development team in the implementation of projects
Perform daily tasks of analysis, programming and testing as needed
Assist with; capturing business requirements, design, system architecture and development
Requirements
Bachelor's Degree in Computer Science
Technical Degree in Computer Science
equivalent combination of education and 5+ years development experience
As a Staff Decision Scientist, Partner Excellence at Relay, you'll decide which Partner Excellence problems are real, design how the network makes decisions, and build data applications/monitors to ship your own tools.
Responsibilities
Decide which Partner Excellence problems are real and which only look real, before anyone builds a fix.
Design how Partner Excellence decides: which signals count, what evidence the network runs on, and what good looks like.
Tell the squad lead what to change and what to stop, and get a decision.
Build the thing that decides: data applications, monitors and alerts, not decks, using Claude and agents to ship your own tools.
Go and look when the data and the street disagree: the sort centre, the van, the shop.
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