Top Tech Jobs & Startup Jobs in Albuquerque, NM

Lead end-to-end execution of a 12+ initiative product security program, managing cross-team dependencies, vendor procurement, BAU security operations, and executive reporting. Maintain roadmap and tracking in Jira/Confluence, drive procurement/POCs, produce executive-ready metrics, and establish program cadence to ensure timely remediation and predictable delivery.

Lead Dynatrace’s product-led growth strategy across marketing, product, and sales. Own acquisition, activation, adoption, monetization, and retention metrics; optimize the product funnel; manage experimentation and lifecycle marketing programs; build performance dashboards; communicate insights to executives; and mentor Growth Marketing Managers.

Architects end-to-end HPC and AI solutions for federal customers, serving as the primary technical interface throughout the sales cycle. Responsibilities include product presentations, system architecture, RFI/RFP responses, demonstrations, proofs of concept, consultative selling, partner coordination, account planning, and customer escalation support. The role requires expertise in HPC, GPUs, networking, AI infrastructure, solution configuration, business value modeling, and technical sales, with mentoring responsibilities for other solution architects.

Manage end-to-end payroll through a PEO, administer HRIS data, support employees with payroll and HR inquiries, ensure multi-state compliance, generate reports, and optimize HR workflows. Lead the organization’s 2027 transition from its PEO to an independent payroll and HR technology stack, including system selection, implementation, tax setup, SOP development, controls, and employee training.

Gather and document business requirements, collaborate with insurance carrier stakeholders, define scope decisions, and translate requirements into technical specifications for engineering implementation. Organize complex product configuration datasets and support data-driven solutions during a six-month implementation engagement.

Leads multiple global travel support teams operating 24/7. Responsibilities include developing standardized processes, improving operational scale, managing escalations, monitoring service levels and customer satisfaction, conducting root-cause analysis, coaching managers, supporting hiring and training, and reporting performance. The role requires contact-center leadership, travel industry systems experience, customer-service expertise, analytical problem solving, and flexibility for nontraditional shifts and potential weekend on-call coverage.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

Lead the architecture and technical direction of Forward Financing’s core fintech platform. Design scalable distributed backend systems, guide cross-team initiatives, establish engineering best practices, resolve incidents, and mentor engineers. The role owns the technical roadmap and architectural vision while partnering across teams to improve reliability, observability, code quality, and delivery. Ruby on Rails expertise is required, along with strong communication, influence, agile development experience, and a broad backend or full-stack perspective.

Own and scale Customer Success operations by improving Salesforce CRM management, customer lifecycle visibility, playbooks, workflows, reporting, onboarding, training, and operating rhythms. Develop scalable processes for implementation, customer health, renewals, expansions, and business reviews. Lead incentive structures, automate manual workflows, maintain knowledge resources, and drive cross-functional operational projects across Customer Success, Implementation, Product, Sales, Marketing, and Operations.

Shape legal AI products by designing evaluations, validating AI outputs, translating legal workflows into product requirements, and turning customer feedback into product improvements. Partner with Engineering, Product, Design, and GTM teams from discovery through launch. Provide legal expertise, define quality standards, create evaluation metrics, and guide roadmap decisions for AI experiences used by in-house legal teams.