Top Remote Tech Jobs

Serve as the primary business intelligence and analytics partner for Governance, Risk & Assurance and the General Counsel Strategy Office. Analyze complex datasets, build dashboards and data models, support data governance and risk initiatives, identify automation and AI opportunities, and translate technical findings into business recommendations. Collaborate across enterprise functions, provide reporting and technology guidance, evaluate AI solutions, and drive adoption of data-informed practices.

Leads product strategy and capability across a portfolio of B2B SaaS businesses. Partners with executives, Product, and Engineering leaders to improve product bets, validation, roadmaps, AI adoption, customer outcomes, and commercial performance. Coaches senior product professionals, strengthens product practices, and provides technical and strategic guidance across SaaS architecture, cloud, APIs, data, scalability, and AI-native product development.

Lead aerospace systems engineering and certification activities for complex, regulated systems. Develop system and component requirements, qualification plans, and compliance artifacts; support FAA conformity, airworthiness, certification audits, and coordination with DERs, ODA representatives, and FAA personnel. Apply ARP4754, DO-178, DO-254, DO-160, applicable CFR requirements, and MIL-STD practices. Collaborate cross-functionally with clients and engineering teams, with occasional customer-site travel.

Design and operate secure Azure infrastructure, infrastructure-as-code modules, CI/CD security controls, vulnerability management, and penetration testing programs. Deploy and monitor internal security, IT, and AI tools using containers, identity, secrets management, telemetry, dashboards, and alerts. Partner with engineering, DevOps, IT, security teams, and external vendors while documenting procedures and producing SOC 2 evidence.

Leads regional sales strategy and manages a team of Business Development Officers. Responsibilities include coaching, pipeline inspection, forecasting, performance management, revenue growth, CRM utilization, hiring, talent development, and collaboration with marketing, product, underwriting, channel partners, and enterprise stakeholders.

Designs, builds, documents, tests, and maintains large-scale data pipelines across platforms and data sources. Performs ETL and ELT, develops data quality and governance processes, and supports data security and compliance. Collaborates with architects, analysts, and stakeholders to translate business needs into technical solutions. The role also provides mentorship to junior engineers and leads data collection, storage, and process automation initiatives.

Designs and maintains enterprise data architecture, including data lakes, warehouses, integrations, migrations, orchestration, and data management protocols. Partners with architects, DBAs, BI teams, product leaders, and business stakeholders to support analytics and data science. Requires deep experience with cloud data environments, Azure SQL, Microsoft Fabric, Spark, Hadoop, PySpark, SparkSQL, security protocols, and enterprise data integrations.

Provide technical support for Java applications, APIs, and databases by investigating errors, analyzing stack traces and logs, troubleshooting AWS Lambda integrations, and resolving application defects. Use Oracle SQL, Python, PowerShell, Unix commands, and monitoring tools to analyze issues and performance. Manage support requests, document resolutions, communicate with stakeholders, and collaborate cross-functionally while applying AI tools and supporting continuous improvement.

Leads AI-focused technical pre-sales, client discovery, solution architecture, proposals, commercial modeling, and executive engagement. Designs scalable AI and cloud architectures across AWS, Azure, GCP, Snowflake, and Databricks; operationalizes LLMs and agentic workflows; develops AI offerings and thought leadership; and supports delivery transitions, governance, and value realization. Mentors consulting teams and shapes complex enterprise AI engagements, with travel up to 40%.

Design, build, test, deploy, and operate reusable enterprise integrations using Workato and modern APIs. Partner with engineering teams, define data flows and security models, create custom connectors and integration templates, and ensure production observability, testing, documentation, and support. Translate partner needs into product requirements, support sales proofs of concept, evaluate agent integration patterns, and use AI coding tools while validating security, correctness, and maintainability.

Serve as the first Customer Success Manager for law enforcement clients: drive product adoption, build relationships, resolve user issues, collect feedback, coordinate with product/engineering, create communications and training, and track key SaaS metrics (DAU, MAU, MRR/ARR, churn, expansion).

Leads paid acquisition strategy across search, social, display, affiliate, and app channels. Owns multi-million-dollar budgets, forecasts, optimization, experimentation, attribution, and performance reporting against CAC, ROAS, conversion, and lifetime value goals. Partners with Product, Analytics, Creative, Legal, and Compliance teams, manages agencies and vendors, identifies new acquisition channels, advises senior leadership, and mentors marketing staff.