Top Tech Jobs & Startup Jobs in NYC, NY

Leads and develops a customer-facing Forward Deployed Marketing Engineering team. Responsibilities include hiring, coaching, managing performance, leading onsite customer engagements, setting delivery standards, building partner capability, coordinating account delivery, collaborating with Product and Engineering, and turning successful marketing workflows into repeatable templates and playbooks.

Directs the company’s accounting, audit, tax, deal desk, payroll, and procurement functions. Oversees third-party accounting partners, monthly close, accounts payable and receivable, financial reporting, GAAP compliance, audit readiness, tax advisors, and financial systems. The role also maintains QuickBooks and Ramp, supports ERP transition planning, and builds an accounting team in a high-growth startup environment.

Embed with customer marketing teams to identify opportunities, build and refine AI-powered workflows and agents, and drive adoption of Profound. Apply marketing judgment to research, briefs, content, campaigns, reporting, and page audits. Partner with account and engineering teams, train agency and consulting partners, create reusable playbooks, and communicate product opportunities. The role requires regular onsite customer work and travel from the NYC or San Francisco office.

Owns multi-country payroll across the US, UK, Singapore, Argentina, and EOR countries. Responsibilities include payroll operations, tax and statutory compliance, benefits deductions, contractor payments, vendor and EOR management, equity and commission processing, reconciliations, controls, and audit readiness. The role will also lead payroll expansion into new countries and use AI and automation to improve accuracy and reduce manual work while protecting sensitive employee data.

Owns go-to-market operations supporting sales leaders and representatives, with a focus on territory design, coverage, account routing, CRM data quality, reporting, and operating cadences. Leads strategic GTM projects from planning through adoption and partners with Revenue Systems, GTM Engineering, Sales, Marketing, Finance, and Post-Sales. Builds scalable processes, dashboards, and tools while translating data into actionable recommendations. The role will expand into compensation, planning, and analytics as the company grows.

Build and scale AI-powered demand generation systems, including lead scoring, routing, ABM intent modeling, lifecycle marketing, funnel optimization, agents, automations, and performance experiments. Partner with Sales and RevOps to improve conversion, customer adoption, expansion, and net dollar retention. Use SQL and Python to create marketing workflows and tooling while managing performance marketing and lifecycle programs.

Own approximately 20 enterprise accounts and drive renewals, expansions, cross-sells, and upsells. Manage customer relationships from onboarding through renewal, lead executive business reviews and commercial negotiations, forecast revenue using CRM data, and collaborate with Product, Engineering, and Engagement Management to increase adoption and demonstrate measurable customer value.

Own end-to-end customer relationships for Ads Studio beta accounts: onboarding, pixel implementation, bidding and campaign setup, reporting, account health monitoring, and translating customer needs into product requirements while building repeatable playbooks.

Provide technical customer support by triaging tickets, investigating logs, reproducing bugs, writing queries, and escalating issues to Engineering. Maintain SLAs, participate in on-call coverage, create runbooks and knowledge-base content, support integrations, communicate during incidents, and identify recurring customer pain. Partner with Engineering, Product, Customer Success, and Account Management while improving AI-assisted support tooling.

Leads and develops a team of Engagement Managers serving scaled enterprise, SMB, and mid-market customers. Owns retention, adoption, expansion, and customer health metrics while designing scalable engagement playbooks, lifecycle automation, intervention strategies, and operational processes. Partners with Sales, Account Management, Product, Engineering, and Data to improve customer outcomes and influence product roadmaps. Recruits and coaches talent and drives AI-enabled, data-informed customer success programs.