Top Remote Jobs

Leads GTM FP&A planning, forecasting, budgeting, variance analysis, scenario modeling, workforce planning, executive reporting, and financial decision support. Partners with Sales, Marketing, Implementation, Customer Success, and other leaders to assess growth, productivity, capacity, costs, and investments. Manages and develops FP&A staff, improves financial models and reporting processes, reconciles data across systems, strengthens controls, and automates workflows.

Build and maintain automated data quality testing for customer data pipelines. Responsibilities include developing dbt, Soda, and SQL checks; validating schemas, loads, sequencing, and downstream reconciliations; detecting anomalies; managing severity levels and customer overrides; reporting quality metrics; and partnering with engineering teams to embed testing into new pipelines. The role requires strong backend testing, SQL, Python, Airflow, and Databricks experience, along with excellent debugging and communication skills.

Owns the full lifecycle of an assigned GIS product or business system, including discovery, strategy, roadmap recommendations, backlog prioritization, requirements, delivery partnership, user acceptance testing, release readiness, adoption, and outcome measurement. Translates business needs between stakeholders and technical teams, makes day-to-day product decisions, manages dependencies and trade-offs, and recommends roadmap investments within established strategic and architectural guidelines.

Lead complex client programs, providing strategic direction, stakeholder management, budget and resource oversight, risk mitigation, change control, performance reporting, and operational improvement. The role manages contractual obligations, coordinates cross-functional teams, oversees major implementation efforts, and partners with Customer Success and Account teams to deliver client outcomes.

Leads software reliability engineering for cloud applications and infrastructure. Designs CI/CD pipelines, infrastructure as code, observability, monitoring, and scalable production systems. Responds to alerts, provides on-call support, improves service reliability, and promotes SRE practices. Develops data pipelines and coaches teams on secure, responsible AI-assisted engineering, including validation of AI-generated code and recommendations.

Leads enterprise fraud prevention for electronic money movement across wires, ACH, Zelle, RTP, and emerging payment channels. Develops fraud strategies, governs controls, monitors threats and regulatory developments, drives operational transformation, advises senior executives, and builds high-performing leadership teams. The role focuses on reducing fraud losses, disrupting scams, improving customer protection, strengthening decision quality, and executing enterprise-wide risk initiatives in a highly regulated environment.

Leads cybersecurity architecture and product security initiatives across applications and platforms. Evaluates controls, technologies, and AI-assisted security recommendations; guides risk analysis, threat modeling, remediation, and security posture assessments. Partners with architects, developers, vendors, and business leaders to define scalable security patterns, validate solutions, and improve software development lifecycle controls, resiliency, auditability, and traceability.

Leads an enterprise Solution Engineering team supporting complex software sales cycles. Responsibilities include hiring and developing senior SEs, managing technical sales strategy, improving pipeline and forecast execution, leading proofs of concept and strategic deals, partnering with sales and technical teams, and creating scalable enablement and operating processes. The role requires executive-level customer engagement, strong presales methodology expertise, technical fluency across integration, APIs, data, AI, and platform engineering, and experience leading enterprise technology teams.

Own and expand strategic luxury travel partnerships for Capital One Travel. Responsibilities include identifying and securing new partners, negotiating commercial terms and customer benefits, managing partner performance, developing pipeline, leading business reviews, and collaborating cross-functionally on launches and optimization. The role also provides industry expertise, builds executive relationships, supports partnership strategy, and represents Capital One Travel at relevant industry events.

Guide beauty and wellness business owners through 2–3 week software implementations. Manage 30–35 accounts monthly, configure accounts, provide product training, create tailored onboarding plans, drive activation and payment-processing adoption, address customer needs, and coordinate with engineering, product, sales, and marketing. The role requires strong communication, project coordination, problem-solving, customer relationship management, and comfort with metrics and multiple software platforms.

Leads global Solutions Architecture, Support Engineering, and Deal Operations teams supporting publishers, DSPs, and strategic partners. Owns technical escalations, integration health, incident response, partner onboarding, revenue-critical programs, monitoring, automation, and cross-functional product and engineering feedback. Serves as the senior technical voice in partner and executive discussions, translating technical issues into business outcomes while driving revenue, operational efficiency, and durable solutions.

Owns data governance, technical documentation, data contracts, API specifications, release communications, partner alignment, and developer-facing publication processes for the ABM platform. The role establishes authoritative sources of truth, maintains documentation standards and traceability, coordinates cross-functional and external reviews, and drives adoption of consistent governance and knowledge-management practices across Product, Engineering, Architecture, Operations, Legal, Compliance, and Marketing.

Leads AI/ML engineering teams developing, deploying, and scaling production machine-learning solutions. Establishes MLOps practices, automated CI/CD pipelines, model monitoring, and cloud-native architectures. Drives responsible AI innovation, evaluates emerging technologies, defines technical roadmaps, partners with stakeholders, and mentors engineering staff. The role focuses on operationalizing AI across the enterprise, including generative AI and advanced machine-learning solutions for healthcare challenges.

Leads the design, development, and deployment of AI and machine learning solutions for healthcare technology platforms. Builds scalable ML models, MLOps pipelines, LLM and RAG systems, backend services, and agent-based applications. Establishes standards for monitoring, testing, CI/CD, and lifecycle management while collaborating with engineering, data, product, security, and SRE teams. Provides architectural guidance and technical mentorship, evaluates emerging AI technologies, and promotes responsible, secure, and resilient AI implementation.