Top Tech Jobs & Startup Jobs

Lead engineering for Platform and FDE pods as a hands-on player-coach. Responsibilities include making technical decisions, shipping backend-leaning full-stack code, scaling infrastructure and audio streaming systems, driving ML experimentation, mentoring engineers, and supporting sprint and roadmap planning. The role begins at 70% individual contribution and transitions toward 70% technical leadership, with potential progression into engineering management.

Own and scale Drata’s customer education function across Enterprise and SMB segments. Build the Drata Academy curriculum, launch an Admin Certification program, define learning standards and KPIs, and use AI and data to improve customer outcomes. Integrate education with Digital CS, Product, Community, Marketing, Support, in-app guidance, and events. This senior individual contributor will set strategy, manage the roadmap, and establish a foundation for future team growth.

Own marketing and partnerships operations infrastructure, including HubSpot workflows, lead routing, scoring, attribution, lifecycle management, campaign tracking, Salesforce integrations, and PartnerStack administration. Improve funnel efficiency, pipeline hygiene, lead conversion, and channel ROI through automation, reporting, forecasting, and data governance. Collaborate with Marketing, Partnerships, Sales, Customer Success, Business Systems, and Analytics teams to implement scalable revenue processes.

Own Mirakl’s partner strategy and relationships with global systems integrators and consultancies. Drive partner-sourced and partner-influenced pipeline, build SI and consulting go-to-market motions, create enablement and co-selling processes, launch joint marketing programs, and establish reporting frameworks to measure partner contribution. Collaborate closely with Sales, Marketing, and leadership to convert strategic partnerships into measurable revenue.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Conduct red-team assessments of formally verified systems, evaluating proofs, specifications, threat models, and trusted computing bases. Build AI-driven vulnerability discovery, triage, and exploit-generation tooling; identify and demonstrate exploitable weaknesses in software and infrastructure. Produce rigorous security reports, publish methodologies, collaborate with domain experts and third parties, and deliver engagements on fixed schedules.

Supports the Customer Experience department by streamlining processes, coordinating cross-functional projects, executing deliverables, maintaining recurring compliance-related work, and fostering collaboration across Services, Success, and Support teams. The intern will receive onboarding, mentorship, routine check-ins, and exposure to multiple teams and stakeholders while working remotely during a 14–16-week term.

Oversee global controllership, including accounting operations, technical accounting, financial reporting, consolidation, close processes, internal controls, tax, financial systems, and audits. Lead US GAAP and statutory audits, support M&A, improve automation and AI adoption, prepare audit committee materials, partner with FP&A, and mentor a global finance team. The role requires global leadership, risk mitigation, process improvement, and accurate, timely financial statements.

Own and improve the production Linux infrastructure, including performance tuning, incident response, configuration management, container orchestration, networking, proxies, virtualization, secrets, observability, and data services. Build automation in Bash and Python, maintain infrastructure code through Git and peer review, troubleshoot complex system issues, write postmortems and runbooks, and support scalable, reliable systems in a regulated fintech environment.

Designs and maintains enterprise BI reporting, analytics applications, data marts, warehouses, and ETL/ELT pipelines. Partners with cross-functional stakeholders to gather requirements and deliver scalable solutions using SQL, Python, Snowflake, Airflow, and BI visualization tools. Leads initiatives through architecture, implementation, delivery, and support, while advancing AI adoption across the BI and data development workflow.