Jobs at Nelnet

Leads customer and market discovery to identify, evaluate, and validate product opportunities. Conducts qualitative and quantitative research, interviews, observations, concept testing, prototyping, and experimentation. Synthesizes evidence into insights, opportunity areas, product requirements, and recommendations, while partnering with product, design, technology, commercial, and business stakeholders. Establishes scalable discovery practices and influences product strategy and investment decisions.

Develops and executes go-to-market, customer acquisition, commercialization, and revenue-growth strategies for new and evolving B2B products and services. Leads customer discovery, sales conversations, pilots, experiments, and cross-functional initiatives across marketing, sales, product, operations, legal, and customer experience. Uses market, customer, pipeline, conversion, retention, and financial data to identify opportunities, improve performance, and establish scalable growth processes, metrics, playbooks, and lifecycle strategies.

Manage relationships with assigned FACTS education-sector customers, ensuring satisfaction, retention, product adoption, and successful issue resolution. Develop customer success strategies, coordinate with sales, operations, product, and technical teams, identify expansion opportunities, advocate for customer needs, and support product evaluations. The role requires at least two annual client visits, attendance at industry events, competitive research, and collaboration across departments. Candidates must reside in Maryland, DC, Delaware, or Virginia and be able to travel while working remotely.

Lead the NextGen product portfolio while personally owning product discovery, requirements, prioritization, and delivery. Manage and mentor Product Managers, define strategy and roadmaps, identify AI opportunities, coordinate cross-functional launches, and align engineering, design, sales, implementation, and support. Ensure products meet compliance, security, accessibility, and regulatory standards while improving adoption, retention, workflow completion, and institutional satisfaction.

Own the end-to-end client success lifecycle for a SaaS platform and consulting services, including onboarding, success planning, engagement, renewals, health monitoring, risk mitigation, executive reviews, platform adoption, and expansion support. Serve as the primary client advocate and coordinate cross-functional teams to deliver measurable compliance, security, and business outcomes.

Manages end-to-end implementation and ongoing account relationships for Scholarship Granting Organizations using the FACTS Grant & Aid solution. Provides consultative support, client training, reporting, process management, issue resolution, and product-utilization guidance. Partners with Sales, Product, IT, Operations, and Training teams to ensure quality, compliance, client satisfaction, and retention. Serves as a subject matter expert and handles escalated issues, functionality tickets, and operational improvements.

Build and deploy production GenAI solutions on Google Cloud, including agentic assistants, RAG pipelines, model integrations, API tools, and multi-agent systems. Evaluate and tune models, develop LLM testing and regression harnesses, ensure solution quality, and convert client-specific implementations into reusable assets. Collaborate with data engineering, AgentOps, forward-deployed engineering, and engagement teams to deliver secure, reliable solutions for higher education and SLED clients.

Owns the technical relationship between Nelnet’s GenAI delivery team and higher education and SLED clients. Leads discovery, scopes AI solutions, translates requirements into delivery backlogs, surfaces compliance and technical risks, validates acceptance criteria, and advises clients on practical AI adoption. Collaborates with engagement managers, cloud engineers, data engineers, and AgentOps teams to ensure solutions are feasible, compliant, and aligned with institutional needs.

Build and maintain Google Cloud data pipelines and ETL/ELT processes supporting GenAI and RAG solutions. Classify and govern sensitive data using Dataplex and Cloud DLP, enforce access controls, assess AI readiness, and design reusable schemas and data models. Collaborate with engineering, delivery, and client teams to integrate legacy systems, monitor pipeline reliability, conduct data quality testing, document data flows, and proactively identify compliance and delivery risks.

The Senior Product Manager identifies and validates market opportunities, develops product vision and roadmaps, analyzes competitors and win/loss results, manages launches, monitors product KPIs, builds ROI and business plans, and recommends pricing strategies. The role partners with executive stakeholders, engineering, marketing, sales, clients, and product teams to expand revenue, market share, and customer value.