Top Senior Level Jobs in Albuquerque, NM

Drives revenue growth through Google Cloud-led sales motions, owning strategic account planning, executive relationships, pipeline development, deal strategy, and quota attainment. Leads co-selling and partner engagements with Google Cloud teams, particularly in public sector and higher education. Develops joint go-to-market strategies, conducts business reviews, enables partners, and represents the company at ecosystem and industry events. Requires consultative selling, cloud transformation expertise, executive relationship management, and willingness to travel.

The Senior Product Manager identifies healthcare market opportunities, defines product strategy, and guides products from conception through commercialization. Responsibilities include competitive research, roadmap prioritization, stakeholder collaboration, customer validation, sales enablement, product marketing, webinars, and industry presentations. The role partners with technical product managers and engineering teams to deliver scalable, interoperable healthcare data solutions supporting payer and provider workflows.

Develops budgets, forecasts, financial models, variance analyses, dashboards, KPIs, and executive presentations. Partners with senior management and cross-functional teams to assess performance, evaluate acquisitions, identify trends, support strategic planning, and improve financial modeling processes through automation. Requires advanced financial analysis, scenario modeling, communication, and business-partnering skills in a global, fast-paced environment.

Owns healthcare live programs end to end, including strategy, event design, client relationships, KOL coordination, venue and vendor management, budgets, onsite execution, hybrid and virtual programs, production logistics, and results reporting. The role manages doctor dinners, advisory boards, speaker programs, roundtables, and conference-related events, traveling up to 50% and supporting major eyecare meetings.

Design, build, and ship full-stack monetization features spanning payments, subscriptions, checkout, entitlements, reconciliation, and payouts. Integrate payment providers and third-party APIs while ensuring idempotency, retry handling, webhook reliability, and graceful degradation. Instrument features to improve conversion and payment recovery, collaborate with product, design, finance, and partnerships, and mentor engineers while using AI-assisted development.

Manages multiple technical projects within the PMO, coordinating technical and business stakeholders, developing project plans and metrics, monitoring risks, and driving execution. Partners with Product and technical teams to align projects with technology roadmaps. Supports quality assurance, governance, ROI modeling, AI project tracking, process optimization, and SDLC-based delivery while ensuring compliance with HIPAA and organizational standards.

Lead architecture and implementation of autonomous inbound/outbound AI agents, build scalable LLM ops and signal-intelligence data pipelines, integrate identity resolution and third-party CRM systems, and maintain production-ready, well-documented systems for Series B diligence.

Designs and leads enterprise Cisco ThousandEyes deployments, including architecture assessments, agent rollouts, test and alert strategies, integrations, migrations, and client roadmap sessions. Serves as a Level 3+ escalation point for networking issues, develops automation using Python, APIs, and Terraform, supports presales and SOW scoping, mentors engineers, and advises strategic accounts on digital experience monitoring.

Lead client implementations and integrations for fraud and compliance products. Translate technical and business requirements into scalable solutions, manage onboarding and implementation projects, own API and SDK documentation, analyze SQL queries and JSON payloads, and collaborate with clients and internal teams to deliver successful deployments. Provide product feedback and support multiple projects while managing timelines, risks, quality, and deliverables.

Analyze product, program, member, client, and operational data using advanced SQL in Databricks. Define KPIs and measurement frameworks, conduct segmentation and root-cause analysis, validate datasets, develop reporting, and translate findings into actionable recommendations. Partner with Product, Engineering, Operations, Client Success, and business leaders to improve performance and support strategic decisions.