Top Tech Jobs & Startup Jobs in NYC, NY

Leads LaunchDarkly’s Cloud Engineering team, overseeing people management, AWS infrastructure, networking, Kubernetes, Terraform, GitOps, CockroachDB, incident response, reliability, disaster recovery, and compliance infrastructure. Owns operational health and a multi-quarter infrastructure insourcing program while guiding technical priorities, automation, migrations, AI-assisted engineering practices, cross-team collaboration, hiring, and team development.

Drives net-new enterprise customer acquisition within a defined territory. Responsibilities include territory planning, pipeline generation, complex enterprise sales, C-suite engagement, tailored solution development, contract negotiation, quota attainment, and cross-functional collaboration. The role requires independently managing complex sales cycles, using data and CRM tools, building business cases, and closing high-value deals with technical buyers such as CIOs and CTOs.

Leads and develops a team of Digital Customer Success Managers serving enterprise customers. Builds scalable customer success programs and playbooks, monitors onboarding, adoption, risk, retention, and expansion signals, and drives operational performance through metrics, forecasts, and pipeline reviews. Oversees strategic customer engagements and escalations while partnering cross-functionally to improve customer outcomes. The role also owns commercial responsibilities, including renewals and retention quotas, in a technical DevOps-focused environment.

Leads corporate marketing and external communications, shaping company narrative, market positioning, thought leadership, public relations, analyst relations, social media, and executive visibility. Manages a three-person communications team, partners with executives and Product Marketing, identifies engagement opportunities, supports analyst relationships, and tracks influence metrics. The role requires extensive B2B software communications leadership experience, strategic storytelling skills, and the ability to translate technical concepts for developer and executive audiences.

Leads growth marketing analytics for a B2B SaaS product-led growth motion. Analyzes user, account, intent, and product signals; develops activation and lead-routing strategies; optimizes conversion pathways; runs growth experiments; and manages analytics, tracking, and data workflows across Marketing, Product, Sales Operations, RevOps, and Data Engineering.

Lead LaunchDarkly’s Data Platform engineering team, overseeing high-throughput ingestion, streaming and batch pipelines, analytical data stores, reliability, observability, incident response, and operational excellence. Partner with product and engineering teams on roadmap planning, technical tradeoffs, and delivery. Coach engineers, manage performance and career growth, establish collaborative team practices, and participate in hiring.

Lead the vision, strategy, roadmap, platform definition, and go-to-market for LaunchDarkly’s end-to-end data products, spanning SDK ingestion, data infrastructure, analytics, observability, experimentation, and AI-powered experiences. Partner cross-functionally with engineering, design, marketing, sales, and customer teams; advocate for customers; ensure reliable data foundations; monitor industry trends; and mentor other product managers. Candidates need substantial product or data-intensive engineering experience and strong knowledge of modern data architectures.

Leads global payroll operations across multiple countries and entities, overseeing processing, compliance, controls, vendors, reconciliations, reporting, audits, systems, and continuous improvement. Partners with Finance, Accounting, People, Legal, IT, and Total Rewards on payroll accounting, tax, equity, employee lifecycle changes, and system enhancements. Serves as the senior escalation point, improves employee experience, manages payroll metrics and forecasts, and develops payroll team members and external partners.

Lead and grow a backend/infrastructure engineering team building the Experimentation product. Partner with PM and Design to plan and deliver features, collaborate with adjacent teams on shared infrastructure, improve reliability and observability, drive incident response and operational excellence, and participate in hiring and career development for engineers.

The Staff Engineer will build data-driven experimentation systems, lead statistical engine design, ensure correctness in A/B testing, and mentor team members while collaborating cross-functionally.