Top Tech Jobs & Startup Jobs

Leads customer implementation pods from contract signature through deployment and post-implementation support. Manages 6–8 concurrent software projects, coordinating cross-functional teams, timelines, risks, dependencies, communications, and status reporting. Uses internal dashboards to demonstrate customer ROI and monitor product health. The role requires enterprise client-facing experience, technical implementation expertise, creative problem-solving, and strong organizational and communication skills. It is based in the San Francisco Bay Area or New York City with 2–3 in-office days weekly and minimal occasional travel.

Generate and nurture leads among large enterprises and Fortune 500 companies through strategic research, networking, and tailored outreach. Identify target-company needs and decision-makers, communicate Riskified’s fraud and payments technology value, and contribute directly to revenue growth in a fast-paced, consultative sales environment.

Serve as a senior technical partner to Enterprise customers by designing, building, troubleshooting, and improving reliable automations. Lead architecture reviews, technical account planning, executive conversations, escalations, and cross-functional initiatives. Partner with Customer Success to improve adoption, retention, and growth while representing customer needs to Product and Engineering. Advise customers on responsible AI implementation, including AI-assisted workflows, agentic systems, evaluation, governance, security, and oversight.

Respond to customer inquiries through chat, phone, and email; resolve technical issues and escalations; promote product adoption; help customers maximize platform functionality; contribute to knowledge-base content; and collaborate with Sales, Product, QA, and Account Management. The role supports SaaS customers using HTML, CSS, JavaScript, and APIs to troubleshoot and drive long-term success.

Build and operate production software for active clinical trials, including clinical-system integrations, trial data flows, site activation, monitoring, and signal detection. Design AI-native agents and pipelines with auditability, provenance tracking, and human review in regulated GxP environments. Own multi-quarter technical initiatives, collaborate with clinical, regulatory, QA, data, and infrastructure teams, mentor engineers, and improve validated software delivery workflows.

Process daily mail, disputes, chargebacks, physical payments, credit disputes, and money orders accurately and on time. Resolve issues end-to-end, meet service-level targets, support compliance, and collaborate with Legal, Finance, Product, and Engineering. The role includes hands-on training and mentorship, with opportunities to advance into Operations II or specialist tracks.

Support clients seeking disability benefits or insurance compensation by conducting interviews, analyzing medical records, drafting persuasive SSA memos, coordinating with representatives, managing caseloads, and collaborating with attorneys on case strategy. The role also involves improving workflows and contributing to startup initiatives with Marketing and Product. It is fully remote with quarterly travel to Los Angeles and occasional offsites.

Lead the company’s finance function across accounting, FP&A, budgeting, treasury, AP/AR, payroll, compliance, reporting, and tax. Build scalable forecasting and financial systems, guide resource allocation and business strategy, support fundraising and investor reporting, manage audits and controls, and provide financial insights to executive leadership and the board.

Architect and lead the company’s revenue operations function, advising Sales leadership through forecasting, territory, quota, pipeline, and reporting analysis. Own HubSpot and the go-to-market technology stack, build scalable processes for deal desk, approvals, quote-to-cash, lead routing, renewals, and expansions, and improve funnel performance. Develop AI-powered workflows, intent-signal pipelines, customer-facing assets, and sales enablement materials using tools such as Clay, Zapier, and LLM coding agents.

Lead the architecture and evolution of AI-enabled, cloud-native software platforms. Evaluate emerging AI, machine learning, cloud, and architecture technologies; define scalable reference architectures; guide data, model integration, monitoring, security, governance, and responsible AI practices; communicate technical strategies; review implementations; and mentor engineering and architecture teams on modern development and AI-assisted engineering.