Top Tech Jobs & Startup Jobs in NYC, NY

Execute and optimize paid advertising, content, email nurture, website, CRM, and cross-sell marketing programs. Manage campaigns across LinkedIn, Google, and Meta; build HubSpot emails; maintain WordPress pages; support HubSpot and Salesforce infrastructure; use AI tools; collaborate with sales and customer success; and report performance and pipeline impact to leadership.

Manage the full B2B sales cycle for Digideck, from prospecting and pipeline generation through discovery, demonstrations, negotiations, and closing. Maintain accurate Salesforce records, forecast opportunities, execute sales campaigns, and build relationships with prospective customers across multiple industries and territories. The role requires virtual selling, solution-sales expertise, strong presentations, and a history of exceeding booking and revenue targets.

Own SaaS customer renewals, expansions, churn prevention, pricing negotiations, and account growth across strategic accounts. Manage renewal forecasting, ARR, NRR, GRR, Salesforce data, QBRs, and executive relationships. Partner with Customer Success, Sales, Finance, Product, and leadership while using AI tools, customer analytics, and Salesforce data to improve renewal execution and demonstrate ROI.

Directs customer success for hundreds of accounts, owning onboarding, adoption, account tiering, coverage models, and health signals. Coaches a seven-person team through call reviews, partners with design and delivery, and improves renewal readiness. The role requires building the customer success program from scratch, automating processes with AI tools such as Claude, creating dashboards and workflows, and establishing realistic onboarding timelines and adoption plans.

Own DIGIDECK’s product vision, roadmap, positioning, and AI strategy. Partner with engineering, design, sales, marketing, and customer success to prioritize features, launch products, enable sales, drive adoption, and optimize performance. Gather customer and market insights, define product metrics, and evaluate AI capabilities, including prompting, RAG, quality, cost, latency, guardrails, and responsible-AI considerations. Prototype AI-powered workflows and translate complex capabilities into clear customer value.