Top Tech Jobs & Startup Jobs in Albuquerque, NM

The Business Analyst elicits and analyzes domain requirements, business rules, workflows, and stakeholder knowledge for government software engagements. The role produces validated documentation, identifies gaps and ambiguities, tracks changes, facilitates stakeholder sessions, and ensures developers and QA teams have accurate requirements. This remote position requires collaboration across business and technical teams, Agile/Scrum familiarity, strong documentation skills, U.S. citizenship, and eligibility for Public Trust determination and DoD system access.

The Lead Technology Engineer will lead IT systems implementation, ensure network security, manage integrations, and enhance operational efficiency through automation.

Drive pipeline, revenue, and retention through Matillion’s US partner ecosystem, focusing on boutique system integrators and global system integrators. Build executive relationships, develop co-sell programs, enable partners, manage funded marketing and technical events, track performance using Salesforce and Tableau, and provide market feedback. Collaborate with Sales, Marketing, Customer Success, Product, and Solution Architecture while coaching other Partner Alliances Managers.

Designs, delivers, and evaluates sales training programs for pharmaceutical field teams, including new-hire onboarding, product and disease-state education, selling skills, market access, and national sales meetings. Partners with Sales, Marketing, Market Access, Compliance, and Commercial Excellence stakeholders to align training with business priorities. Manages learning projects, facilitates live and virtual sessions, supports field capability development, and uses learner and stakeholder feedback to improve programs.

Leads Implementation Specialists and Professional Services Consultants delivering technical customer onboarding, integrations, data cleanup, compensation planning, and SaaS configurations. Manages hiring, coaching, performance, escalations, project delivery, capacity planning, operational metrics, and process automation. Partners with Sales, Customer Success, Product, R&D, and executive customers to resolve technical issues, improve delivery outcomes, and scale client-facing services.

Develop and manage the enterprise sales pipeline for Rain’s financial technology solutions. Qualify prospects, engage sales development teams, build C-level customer relationships, present solution propositions, manage sales cycles, and close business. The role requires strategic planning, business development, complex technology solution selling, customer engagement, negotiation, and strong communication skills. Experience in earned wage access, HR technology, or fintech is preferred.

Leads vCISO and cybersecurity compliance engagements for multiple clients, including CMMC and NIST assessments, SSP and POA&M development, risk assessments, framework mapping, audit and assessor support, incident response, and remediation coordination. Advises clients on regulatory obligations, security tooling, and compliance strategies while managing client relationships, engagement health, reporting, and delivery quality across a large portfolio.

Coordinates engineering workforce planning, recruiting, technical candidate evaluation, cross-border assignments, TN Visa processes, onboarding, documentation, equipment, software access, and employee mobility. Acts as a liaison among Recruiting, Operations, IT, and field leadership while standardizing candidate profiles and supporting staffing priorities across the U.S., Canada, and Mexico.

Own demand generation and customer lifecycle marketing across the funnel, from paid acquisition and lead nurturing through onboarding, retention, and cross-sell. Build HubSpot campaigns, workflows, dashboards, attribution, segmentation, and lifecycle programs. Analyze conversion and revenue performance, run experiments, use AI tools, coordinate with sales and customer success, manage events and webinars, and maintain execution plans and data hygiene.

Develop AI and machine learning solutions for fraud, anomaly detection, semantic search, entity resolution, and investigative analytics. Build and operationalize models across structured and unstructured data using AWS data lakehouse services, generative AI, NLP, graph analytics, and document intelligence. Evaluate model performance, explainability, monitoring, and risk scoring while supporting production integration, dashboards, and investigative workflows. Collaborate with technical teams, investigators, stakeholders, and federal clients in an Agile environment.