Jobs at Pindrop

The Senior Software Engineer will design and develop systems for processing communication data, ensure software quality, provide technical leadership, and solve complex problems in real-time media systems.

Own full-cycle recruiting for GTM (Sales, Customer Success, Marketing) roles: run intake meetings, source and build diverse pipelines, manage candidate experience, conduct structured interviews, maintain Greenhouse ATS and funnel metrics, partner on headcount and compensation, and improve recruiting processes for a high-growth SaaS business.

Design and develop high-performance services and APIs, focusing on cloud-based applications using Golang and Python, while ensuring code quality and security.

As a Senior Research Scientist, you will advance research in deepfake detection and computer vision, develop scalable solutions, and collaborate with engineering teams while publishing your findings.

Lead and manage a team of strategic sellers to meet quotas, grow new license revenue, execute enterprise solution-selling (including POCs and ROI cases), forecast in Salesforce, collaborate with sales engineering and analytics, and drive enterprise deals and renewals with Fortune 500 customers.

Lead corporate planning, build and own the integrated three-statement model, automate FP&A reporting, own SaaS metrics and executive dashboards, support investor/board reporting, capital strategy, IPO/M&A readiness, and partner cross-functionally to translate financial insights into operating decisions.

Partner with Sales, Marketing, Customer Success, Partnerships, RevOps, and Finance to own GTM financial planning, forecasting, and performance reporting. Build driver-based models, ROI and customer-economics analyses, and automate reporting and data reconciliation to inform GTM investment, hiring, pricing, and partner strategies. Provide decision support and present insights to executives.

Lead strategy and execution for a Protect engineering domain, managing and mentoring engineers to build and operate scalable, reliable cloud-native services. Drive architecture, observability, incident response, CI/CD, and cross-functional delivery with Product, Research, and SRE to improve technical health and delivery outcomes.

Design, build, and evaluate machine learning models and scoring systems to detect fraud and scams across voice and IVR. Analyze fraud patterns, support investigations, productionize research with engineering, improve identity signals, and maintain reproducible research and evaluation pipelines.

Lead and scale engineering teams building Protect, a real-time multi-signal fraud detection platform. Set technical strategy, develop managers and senior engineers, deliver distributed systems and APIs, improve architecture, observability, reliability, and developer productivity while partnering with Product, Research, Security, and exec stakeholders.

Conduct research and develop algorithms for real-time video processing and deepfake detection, translating machine learning models for production use.

Own design, governance, and continuous improvement of People Operations processes for onboarding, offboarding, payroll, benefits, compliance, and reporting. Build SOPs, dashboards, and data integrity controls; partner with HRBPs, Finance, IT, and Legal. Serve as operational leader and escalation point, support scaling to 500+ employees and special initiatives (M&A, audits, workforce changes).

Lead DevOps strategy and team to improve CI/CD, IaC, Kubernetes-based delivery, multi-cloud (AWS/GCP) operations, observability, incident response, and cloud cost optimization. Drive automation, release workflows, environment management, and adoption of AI-powered DevOps tools to increase engineering velocity, reliability, and operational efficiency.

Design, build, deploy, and operate low-latency, secure backend authentication services and APIs using Go/Python on AWS/GCP. Integrate ML signals, maintain cloud-native infrastructure, ensure observability, participate in on-call rotation, and collaborate across engineering, product, and research to improve fraud prevention and identity workflows.

Lead Pindrop's Product Marketing function, manage a team, define go-to-market strategies, oversee analyst relations, and ensure effective communication across stakeholders.

Design, implement, and scale cloud-native, carrier-grade voice infrastructures (SIP/VoIP/PBX/IVR/SBC) for authentication, fraud prevention, and deepfake detection. Integrate voice networks with cloud services, automate deployments and monitoring (Python, Ansible, Terraform), troubleshoot complex voice/network issues, lead architectural improvements, mentor engineers, and collaborate across product and customer teams to ensure secure, reliable, high-availability voice systems.

Sell Pindrop's Deepfake suite (Pulse for Meetings) to enterprise accounts, meet quotas, manage full sales cycle (qualification, POC, ROI, pricing, negotiation, contract), forecast in Salesforce, prospect with BDRs, and provide market/product feedback.

Own and evolve high-scale backend and data-layer services. Design, build, test, and operate distributed backend services and APIs, improve reliability/latency/scale, take end-to-end ownership from design through production support, participate in on-call and incident response, and mentor peers while partnering with Product and SRE teams.

Own and grow enterprise accounts to meet sales quotas by prospecting, qualifying, and closing enterprise license deals. Lead solution-selling activities including POCs, ROI/business case development, pricing/negotiation, contract execution, forecasting in Salesforce, and cross-functional coordination with sales engineering, product, and partners.

Lead architecture and delivery of enterprise, global SaaS solutions for strategic clients. Support pre-sales, write SOWs, identify risks, configure and implement Pindrop integrations, train and transition customers, and influence product roadmap through close partnership with Product and Engineering.