Top Tech Jobs & Startup Jobs in Washington DC,

Lead product analytics to improve user growth, engagement, retention, and revenue. Design and analyze A/B and multivariate experiments, perform funnel/cohort analyses, maintain KPIs and dashboards, ensure event tracking, leverage ML and AI tools for advanced analyses, and translate insights into product recommendations across cross-functional teams.

Design, build, and operate cloud-native platform services that replicate and recover complex application stacks. Work with cloud provider APIs (AWS, Azure), build resilient distributed systems, own features end-to-end, and mentor engineers to improve reliability, scalability, and security for a production SaaS disaster-recovery platform.

Lead grant investigations and manage a portfolio of grants by reviewing evidence, building cost-effectiveness models, engaging grantees and experts, conducting site visits and monitoring, and publishing transparent reports to inform high-impact funding decisions.

Designs and manages immersive STEM Innovation & Entrepreneurship learning experiences and curricula for higher-education, industry, and government audiences. Leads program implementation, facilitation, needs assessments, competency modeling, partnership management, and evaluation. Supports project management, convenings, site visits, and funder reporting; travels ~25%.

Lead and coach a team of Mid-Market Account Executives selling to film and TV production companies. Provide live call coaching, run weekly 1:1s, build individual development plans, enforce pipeline and forecast discipline, partner cross-functionally with Marketing and Product, own sales process adoption and deal review cadence, and drive org-level process improvements.

Own and scale the GTM tech stack (Salesforce, HubSpot, integrations), build AI-powered automations and data pipelines, ensure data quality and governance, and partner cross-functionally to optimize revenue processes and operational efficiency.

Own product strategy and roadmap for an agentic AI platform that enables practitioners and AI agents to run defensible tax analysis on trusted data. Define compliance-grade requirements, agent access surface, and data-product contracts. Manage external data sourcing, measure success by practitioner outcomes, and collaborate closely with AI and data engineering leaders to deliver production results.

Lead thought-leadership campaigns by turning content, data, and events into external narratives. Secure media, partner, and speaking placements to drive visibility, backlinks, and audience growth. Execute paid, social, and partner distribution to convert external audiences into subscribers and revenue. Build repeatable amplification systems, measure performance across channels, and optimize for engagement, retention, and business outcomes.

Design and build PostHog's observability stack (logs, traces, metrics) to ingest, store, and retrieve petabyte-scale telemetry reliably and cost-effectively. Own product area end-to-end from alpha to GA, make architecture decisions, implement high-throughput distributed systems, and optimize query/storage performance while ensuring data integrity in a multi-tenant SaaS environment.

Design and advance enterprise data and BI architecture: optimize OLTP/OLAP models, establish modeling/integration/governance standards, lead POCs, mentor teams, enable AI/ML, and guide cross-functional implementation from concept to production.