Top Tech Jobs & Startup Jobs in Albuquerque, NM

Lead delivery of Data Management and Analytics projects, manage project health across scope, schedule, budget and risks, act as primary client contact, drive customer satisfaction, position additional work, and direct globally distributed teams using Agile and Waterfall methodologies.

Own strategy and execution for partner-driven revenue by building repeatable channel playbooks, driving co-sell pipeline and forecasting, enabling partner GTM, representing Pelago externally, and surfacing partner signals to Product, Sales, Clinical, and Marketing to scale partnerships and measurable partner-sourced revenue.

Build and support TimescaleDB Enterprise on‑prem deployment and management platform. Develop frontend tooling (React/TypeScript), backend services (Go), deployment automation (Ansible), and operational PostgreSQL tooling. Write tests across unit to end-to-end, collaborate with cross-functional teams, translate operational requirements into pragmatic product solutions, and iterate on reliability and usability.

Own and govern the end-to-end marketing tech stack and campaign operations: roadmap, integrations, tracking, tag management, data flows, and reporting. Build AI-powered automations and operational tooling, ensure data hygiene, and support ABM and PLG initiatives through signal and workflow design.

Own technical execution of new client onboardings and offboardings: deploy core services, manage access and migrations (Microsoft/Google), document in ConnectWise/ITGlue/Rocketlane, monitor project progress, support onsite techs, execute decommissions, and improve onboarding processes to meet timelines and KPIs.

Serve as strategic finance partner for GTM, OQ product line, and G&A/COGS. Own monthly billings and expense processes, maintain driver-based operating model, lead Product P&L and billings analytics, produce executive and board reporting, and partner with leaders on budgeting, headcount, and SaaS metric tracking to drive margin and growth.

Lead subscription and ad monetization across Mode's mobile app portfolio. Own pricing, paywall experimentation, subscriber lifecycle (churn reduction, win-back), vendor tooling (RevenueCat, Superwall), and programmatic ad yield (AdMob, AppLovin MAX). Partner with product, engineering, and analytics to optimize conversion, ARPU, LTV, and retention while embedding AI tools into workflows.

The Product Deployment Specialist ensures new product capabilities are deployable and scalable, serving as a technical bridge between product strategy and implementation for enterprise customers.

Lead client-facing discovery from initial conversations to a comprehensive Discovery Document. Run workshops, gather business and technical requirements, define scope, risks, priorities, and implementation recommendations. Coordinate with engineering, UX, AI specialists, and clients, produce deliverables, present findings, and ensure a smooth handoff into delivery.

This role involves developing and optimizing LLM applications, architecting workflows, and integrating AI functionalities. Strong experience in AI/ML and collaboration is required.