Top Tech Jobs & Startup Jobs in Washington DC,

Full-cycle enterprise SaaS sales role selling Ontic's security platform to Fortune 1000 accounts. Own territory strategy, prospecting, pipeline development, demos, discovery, negotiations, and close. Build executive relationships, present ROI to stakeholders, manage forecasts in Salesforce, collaborate with internal teams for client value and retention, and represent the company at events.

Lead development of rigorous evaluation frameworks and statistical methods to measure and validate autonomous vehicle system performance. Monitor metric reliability, detect drift, identify edge cases, correlate simulation and on-road results, and feed scenarios into simulation catalogs. Partner with safety, systems, and engineering teams to inform launch decisions, build self-service tooling for developers, and mentor peers. Introduce scalable ML methods where appropriate to improve evaluation rigor and coverage.

The Lead Technology Engineer will lead IT systems implementation, ensure network security, manage integrations, and enhance operational efficiency through automation.

Senior full‑stack engineer responsible for building production-quality Salesforce platform capabilities, integrations (MuleSoft, REST/SOAP), AI-enabled tooling (Claude plugins, MCP servers), CI/CD, and reusable libraries. Mentor engineers, run architecture/code reviews, and collaborate cross-functionally to deliver scalable, secure cloud-native solutions using Python, LWC, Apex, and AWS.

Remote contract attorney to analyze claim documents, prepare detailed written responses, handle complex claimant and counsel inquiries by phone, and provide high-quality client service under project oversight for product liability class actions and mass tort matters.

Remote one-year contract supporting document and contract review, claim analysis, and client inquiries. Apply project protocols, collaborate with managers, monitor case health, ensure quality and deadlines, and assist in issue resolution in a fast-paced legal services environment.

Own the CRM and surrounding GTM systems strategy, architecture, and roadmap. Define data models, set governance and access controls, translate cross-functional requirements into prioritized platform design, run vendor evaluations and build-vs-buy decisions, and lead executive-facing business cases for major CRM/platform changes.

Monitor real-time and historical derivatives trading to detect market abuse, investigate flagged transactions, prepare investigative reports, ensure regulatory compliance, support KYC/AML enforcement, and collaborate with Legal, Risk, and Technology to improve surveillance protocols.

Own and scale Everlywell's paid search program (Shopping, Performance Max), run end-to-end SEM campaigns, use AI and automation for bidding and ad copy, measure KPIs, run experiments, collaborate with analysts and stakeholders, and evaluate expansion into other PPC channels to drive DTC sales growth.

Design, build, and deploy Agentforce agents and AI-driven workflows within Salesforce Financial Services Cloud. Integrate agents with MuleSoft and external data, implement Einstein AI features, test and monitor agent behavior, mitigate hallucinations, ensure security and compliance, and iterate based on advisor feedback.

Serve as the Financial Services Cloud solution architect and lead developer: design data models and integrations, build Apex and LWC solutions, enforce development standards, manage org health and releases, collaborate with MuleSoft/Agentforce teams, and mentor developers to meet compliance, performance, and scalability needs.

Design, customize, and administer a Financial Services Cloud Salesforce org for ~100 users. Build Apex, LWC, Flows, and integrations; manage security, data integrity, reports, dashboards, and Data Cloud/Einstien 1 use cases. Provide end-user support, training, and documentation to optimize workflows for wealth management/RIA operations.

Review and interpret title abstracts, title opinions, and related documents; identify ownership and curative actions; communicate findings; enter data into company systems; support well clearing, payments, turn-in-line, due diligence, and owner inquiries.