Top Tech Jobs & Startup Jobs

Design, develop, and optimize compute infrastructure for large-scale distributed Spark workloads. Solve scalability, fault tolerance, and consistency challenges; build scalable AI infrastructure including language model systems; and improve observability, telemetry, and monitoring platforms. The role requires backend development experience with distributed systems, strong Java programming, cloud and Kubernetes experience, and familiarity with Agile and TDD methodologies.

Sell Salesforce solutions to the U.S. Air Force by acquiring new accounts and expanding existing ones. Manage opportunities using solution selling, drive contract execution, lead a matrixed sales support team, and leverage knowledge of DoD/USAF acquisition processes to close complex deals. Preferred location Washington, D.C. metro.

Develop, test, and release backend Python, Java, and JavaScript services for Salesforce’s large-scale managed runtime platform. Build scalable AWS serverless deployments using Django, Flask, Node.js, and cloud infrastructure tools. Collaborate on product design, code reviews, security assessments, and cross-functional delivery. Present technical work, contribute to distributed systems and CI/CD workflows, and help grow other engineers.

Writes and edits UX copy, video scripts, email campaigns, knowledge articles, executive presentations, and event content. Manages editorial review cycles, applies brand, accessibility, plain-language, and style-guide standards, and partners with product, design, marketing, video, and executive stakeholders. Maintains editorial resources, reviews external and peer work, and helps refine AI-powered editorial tools.

Serve as first point of contact for customers using Agentforce and Data 360, troubleshoot technical issues, provide feature guidance and best practices, manage customer expectations, create and maintain knowledge content, participate in training, and escalate complex issues to internal teams to ensure customer success.

Leads technical alliances and co-innovation with strategic ecosystem partners. Builds integration prototypes, agentic workflows, reference architectures, and technical demonstrations; enables partner and field sellers; supports strategic customer opportunities; and communicates complex solutions to executives. The role requires deep Informatica expertise, familiarity with agentic protocols and cloud platforms, strong architecture and evangelism skills, and experience influencing senior stakeholders and closing partner-led opportunities.

Lead end-to-end customer migration engagements as the primary technical advisor, coordinating with account teams and global delivery partners. Drive adoption of AI agents and automation for data mapping and code conversion, troubleshoot major migration incidents, and translate technical architectures into business outcomes. Influence product and tooling by providing field feedback and ensure successful go-live and adoption across Salesforce clouds.

Lead strategy, roadmap, and delivery for SalesforceEnterprise API portfolio (REST, SOAP, Bulk, SOQL). Own product direction for data movement and query at scale, API security/trust, versioning and deprecations, and customer evangelism. Drive cross-cloud alignment, voice-of-customer, go-to-market assets, and long-term AI-agent–centric API strategy while managing a large, distributed cross-functional engineering team.

Lead emerging-technology product development from concept through production-ready MVPs. Collaborate with product, design, engineering, operations, customers, and early adopters to define requirements, prioritize features, validate ideas through rapid experimentation, and deliver measurable customer value. Monitor technology trends, gather customer insights, shape roadmaps, write product requirements, and track success metrics in a fast-moving innovation lab environment.

Sell the Tableau platform to state and local government accounts across the Northeast. Build C-suite relationships, develop territory and account plans, manage complex enterprise sales cycles, coordinate internal resources, prospect whitespace, grow pipeline, and meet/exceed quota while driving analytics use cases and customer value.