Top Remote Jobs

Own the product and engineering operating system, including quarterly planning, six-week release cycles, sizing, release readiness, customer feedback intake, product metrics, dashboards, and reporting. Coordinate cross-functional sign-offs, identify delivery risks, communicate release updates, and connect roadmap work to customer and business outcomes. Build lightweight processes, automations, and AI-assisted reporting for a fast-moving software startup.

Own the roadmap and outcomes for Credo AI’s AI governance solutions, taking research prototypes through validation, beta, and general availability. Lead AI-powered intake, risk mapping, knowledge graph recommendations, vendor risk, and evaluation capabilities. Define product metrics and quality thresholds, test features hands-on, prototype with AI coding tools, engage customers, and partner with Sales, Marketing, Customer Success, and Engineering on packaging, launches, and adoption.

Serves as a client advocate and laboratory liaison, guiding mineral testing projects from initial contact through laboratory processing, deliverables, and invoicing. Advises clients on methods and equipment, resolves disputes, troubleshoots sampling issues, coordinates supply shipments, liaises with technical staff, prepares quotes, reviews invoice pricing, and leads process improvement initiatives.

Lead Palantir Foundry deployments from problem discovery through implementation and value realization. Engage client stakeholders, design technical solutions, govern project delivery, drive user adoption, identify relevant datasets, measure business impact, and surface expansion opportunities. The role requires technical aptitude, business acumen, project management, strong communication, client relationship skills, and approximately 5% travel in the US and Canada.

Deploy and customize Palantir Foundry and AIP solutions for enterprise clients. Responsibilities include conducting client workshops, building data pipelines and operational workflows with Python and TypeScript, solving complex technical problems, training end users, documenting solutions, and supporting project delivery. The role requires strong data engineering, communication, analytical, and problem-solving skills, along with recent Palantir experience and approximately 5% travel in Canada and the United States.

Drives new-logo SaaS sales to community banks and credit unions through outbound prospecting, inbound lead qualification, discovery, demonstrations, proposals, negotiations, and contract execution. Manages complex six- to twelve-month sales cycles, achieves quota, maintains forecasts, engages executive decision-makers, attends industry events, and collaborates cross-functionally to refine sales processes and go-to-market strategy.

Develop and maintain Python-based AI applications under senior guidance. Collaborate on requirements and feature implementation, use Pydantic for data validation, write documented code, participate in reviews, troubleshoot issues, and support testing and CI/CD. The role requires Python, object-oriented programming, REST APIs, and knowledge of LLMs, with opportunities to learn modern frameworks, backend development, data engineering, and cloud platforms.

Submit a general application for future opportunities matching your skills and experience. The company will keep your application on file and consider you for suitable roles as they become available.

Develop and support data services, REST APIs, integrations, and scalable cloud-based applications. Responsibilities include modularizing application services, implementing backlog features, configuring client data services, validating data and software integrity, and supporting integration projects from scoping through deployment. The role collaborates closely with consulting teams, clients, and internal stakeholders while applying Ruby on Rails, Java, MySQL, and modern web technologies.

Leads software architecture and development for scalable distributed applications and production AI capabilities. Designs LLM integrations, RAG pipelines, agentic workflows, retrieval systems, and intelligent automation. Establishes AI development, evaluation, prompt management, security, governance, and observability practices. Collaborates with product, data, and engineering teams, mentors engineers, contributes to technical roadmaps, and drives architectural decisions using modern cloud-native, microservices, and event-driven approaches.

Manages sales and account activities for interpreting and translation services. Responsibilities include prospecting organizations, generating leads, responding to RFPs, preparing proposals, registering as a vendor, implementing new accounts, maintaining Salesforce records, supporting contracts and invoicing, monitoring client usage, cross-selling services, and providing ongoing account support. The role also assists with interpreter scheduling, reporting, compliance, and after-hours customer coverage.

Leads DLH’s enterprise technology vision, adoption strategy, innovation agenda, and multi-year roadmap across federal Health and Defense markets. Oversees emerging technology pilots, solution architecture governance, responsible AI adoption, strategic technology partnerships, and technical contributions to capture and proposal efforts. Translates technology investments into differentiated offerings, contract wins, and business growth while representing DLH with customers, partners, and industry stakeholders.

Own Salesforce implementation and development while building the systems, integrations, automations, workflows, reporting, and dashboards that support scalable go-to-market operations. Partner with sales leadership to optimize pipeline management, prospecting, enrichment, outreach, forecasting, customer handoffs, and revenue technology. Evaluate and integrate GTM tools, improve data architecture, reduce manual work, and experiment with AI-powered workflows in a fast-moving B2B SaaS startup.