Top Remote Jobs in CO

Partner with Customer Success and CS Ops to build post-sales analytics: customer health scoring, renewal and renewal pipeline reporting, billing and support signal analysis, and expansion/upsell dashboards. Own dashboard ecosystem, translate stakeholder requests into scalable reporting, collaborate with Finance and Data Engineering, and leverage AI tools to accelerate analytic workflows and maintain data quality for retention and expansion decision-making.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The Talent Acquisition Partner sources, screens, and engages candidates across multiple roles. Responsibilities include partnering with recruiters and hiring managers, conducting resume reviews and phone screens, coordinating interviews, maintaining candidate records in Greenhouse, supporting recruiting projects, improving processes, and delivering a positive candidate experience.

Supports Strategic Account Directors by coordinating client campaign deliverables, internal teams, roadmaps, and timelines. Analyzes Zeta Marketing Platform data to identify trends and actionable recommendations, activates platform solutions, supports first-party audience data onboarding, and assists with client meetings and performance reviews. The role manages client communications, resolves delivery risks, aligns stakeholders, and helps improve campaign outcomes and client satisfaction.

As a Collections Specialist, you will manage SMB customer accounts, negotiate payment plans, achieve recovery targets, and document accounts in Salesforce CRM.

Own and grow enterprise accounts by prospecting, building pipeline, and closing new business. Consult senior executives, develop partnership strategies, exceed revenue targets, and provide market feedback to improve product-market fit.

The Partner Marketing Manager will lead marketing strategies for SDO and reseller partners, executing campaigns, enabling partners, and managing relationships to drive pipeline and revenue growth.

Provides advanced omnichannel technical support for enterprise restaurant clients. Troubleshoots POS hardware, financial transactions, API integrations, menu configurations, and third-party systems across phone, chat, and email. Manages case prioritization and backlog, communicates with restaurant and corporate stakeholders, de-escalates challenging situations, owns issues through resolution, collaborates with internal teams, and documents solutions. Requires independent judgment, strong organization, and the ability to learn a broad product suite.

Leads and coaches a team of Marketing Specialists delivering multi-channel campaigns for restaurant customers. Owns service execution, capacity planning, SLAs, quality assurance, customer escalations, playbooks, dashboards, and operational improvements. Partners with Product, Sales, Customer Success, Legal, and Finance to scale managed marketing services while improving campaign quality, customer satisfaction, and business outcomes.

Manage high-volume inbound and outbound customer engagements to drive retention and long-term success. Lead consultative retention discussions, handle objections and pricing negotiations, diagnose customer needs, document interactions, use account data for decision-making, and collaborate with Sales, Support, Product, and Finance. The role requires strong communication, negotiation, prioritization, data interpretation, and real-time problem-solving skills.

Serve as a client-facing compensation partner advising senior leaders and HR on program design, market benchmarking, job pricing, review cycles, and global practices. Perform data-driven analysis, recommend competitive and fair solutions, design enterprise compensation programs, support recruiting and new hire offers, and deliver training and change management.

Own full-cycle recruiting for highly specialized software engineering roles spanning autonomy, robotics, embedded software, perception, planning, distributed systems, simulation, machine learning, and infrastructure. Develop sourcing strategies, advise engineering leadership on talent markets and workforce planning, manage complex pipelines, improve recruiting processes and tooling, deliver strong candidate experiences, and mentor junior recruiters.

Lead enterprise systems and data architecture across business domains, define target-state architectures and integration patterns, rationalize shadow IT, guide sensitive-data placement in regulated multi-environment contexts, support major strategic programs, establish architecture governance and review practices, and coach engineering teams to raise architectural maturity.

Lead sourcing and execution of strategic partnerships, investments, and M&A. Drive deal structuring, negotiation, financial modeling, diligence, and integration planning. Advise executives on corporate strategy, build industry and government relationships, and deliver market intelligence on defense, autonomy, and AI to inform long-term planning.

Manage end-to-end onboarding for Gusto 401(k) plans (new setups and conversions). Serve as primary contact for sponsors/admins, drive tasks to activation and first contribution, coordinate cross-functionally, ensure data accuracy and compliance, monitor performance metrics, and use AI tools to improve workflows.

The Staff Credit Policy Analyst leads the development and governance of credit policies for home loans, ensuring compliance and operational efficiency while collaborating with leadership and cross-functional teams.

Designs and maintains production data pipelines, dbt models, Airflow workflows, and Snowflake datasets integrating Workday and other People systems. Owns data quality, observability, governance, row-level security, and access controls for sensitive People data. Builds semantic models and AI agents, collaborates with analysts and stakeholders, translates requirements into reliable data products, communicates technical trade-offs, and mentors other engineers.

Leads and develops a data engineering team supporting People Analytics and AI-assisted workforce analytics. Designs scalable data models, pipelines, semantic layers, testing frameworks, and governance practices. Remains hands-on with production code, reviews, and technical problem-solving while partnering with People Analytics, business, legal, and compliance stakeholders. Establishes engineering standards across Python, SQL, dbt, Airflow, Snowflake, CI/CD, data quality, observability, privacy, and security.