Top Tech Jobs & Startup Jobs in NYC, NY

Owns North American indirect tax compliance, including U.S. sales and use tax, Canadian GST/HST/PST/QST, and Mexican IVA support. Manages tax inquiries, filings, reconciliations, exemption certificates, audits, notices, accruals, and cash tax forecasting. Partners with tax advisors, finance, systems teams, and sales stakeholders to resolve tax issues and improve automation across Vertex, NetSuite, and Salesforce.

Manage enterprise customer implementations of Samsara’s IoT solutions, creating launch plans, tracking adoption and account health, delivering training, demonstrating technology, and resolving deployment obstacles. The role partners with Sales, Support, Sales Engineering, and Product while guiding executives and end users through successful system adoption. It is remote, serves U.S.-based customers, and requires up to 25% travel.

Own platform product operations across Billing, Org & Auth, and Security. Identify enterprise-readiness gaps, analyze structured and unstructured data, build internal data and AI tools, prioritize roadmap investments, and quantify ARR impact. Partner with Product, Engineering, Sales, and leadership to turn ambiguous problems into repeatable workflows, decision-ready recommendations, and measurable improvements in acquisition, expansion, and retention.

Lead a team of firmware and ML engineers developing, optimizing, and deploying AI models on edge devices. Set technical strategy for embedded systems, latency, power, memory, and model performance; provide hands-on leadership; partner with Product and Hardware teams to ship mass-production products; shape roadmaps; and hire, mentor, and develop engineering talent.

Own enterprise customer implementations of Samsara’s IoT platform, managing deployment plans, adoption roadmaps, training, progress tracking, and account health. Build trusted relationships with executives and end users, explain technical solutions, resolve challenges, and coordinate with Sales, Support, Sales Engineering, and Product. Manage multiple engagements, mentor Customer Success and Support teams, and help customers achieve safety, efficiency, and sustainability outcomes.

Lead complex, cross-product design initiatives from problem framing through launch and iteration. Define interaction patterns and visual systems, engage strategic customers, incorporate AI tools into design workflows, ship code across design systems and web and mobile products, mentor designers, and partner with senior leadership to establish high-quality design standards.

Leads the Enterprise Implementation Consultants team delivering complex, multi-site SaaS, hardware, and systems integrations for major enterprise accounts. Responsibilities include managing performance and KPIs, coaching consultants, overseeing escalations and executive relationships, improving implementation processes and automation, coordinating with Sales and Customer Success, and hiring and developing an inclusive, high-performing team.

Build and deploy production AI/ML systems that optimize Samsara’s global hardware supply chain. Responsibilities include demand, inventory, cost, lead-time, supplier-risk, anomaly-detection, and cash-flow modeling; real-time inference pipelines; MLOps; data infrastructure; governance; and cross-functional AI adoption. The role also sets the supply-chain AI roadmap, mentors junior scientists, establishes modeling standards, and partners with Planning, Procurement, Finance, Engineering, and Operations.

Own end-to-end commercial navigation features for fleet customers across mobile, backend, and web platforms. Build reliable, tested, observable software for challenging conditions such as poor connectivity and changing routes. Collaborate with product, design, Maps, Telematics, and customer-facing teams to define priorities, success metrics, and tradeoffs. Ship and maintain customer-facing experiences, with opportunities to use React Native, Swift, Kotlin, geospatial technologies, and AI-assisted development tools.

Lead the design and implementation of AI initiatives for edge devices. Develop and optimize machine learning solutions using large-scale sensor, video, text, diagnostic, transaction, and location data. Partner with engineering and business teams to prototype AI experiences, ship production systems, adopt research advances, and improve edge model performance. Mentor ML engineers and communicate technical concepts to varied audiences.