Top Tech Jobs & Startup Jobs

Own enterprise sales quotas and forecasts for large, complex AI software deals. Lead multi-threaded sales cycles through legal, security, procurement, integration reviews, pilots, and enterprise rollouts. Build executive relationships, strategic account plans, ROI business cases, and PE-backed opportunities. Coordinate founders, engineering, and solutions teams while providing product feedback. The role is remote by default but requires travel for executive meetings, onsite engagements, QBRs, and periodic headquarters visits.

Own the full sales cycle for mid-market software customers, including prospecting, pipeline creation, demos, deal closing, forecasting, pilots, and account expansion. Explain AI capabilities in terms of measurable business outcomes, build repeatable sales processes, and provide customer feedback to Product and Engineering. The role requires consistent quota attainment, managing multiple fast-moving deals, and working in an in-office environment.

Build Netic’s sales enablement function from zero, including onboarding, certification, training, playbooks, battlecards, sales metrics, launch readiness, and enablement sessions. Analyze ramp time, conversion data, call recordings, and win-loss results to identify skill gaps and improve sales performance. Partner with Sales, Sales Operations, Product, and Marketing to translate complex AI products into effective talk tracks, demos, and objection handling.

Build and lead Netic’s Deal Desk from scratch by creating approval matrices, pricing playbooks, and deal review processes. Structure complex deals, model economics, analyze discounting and win rates, and recommend pricing or packaging changes. Partner with Finance, Legal, Product, and Sales Operations on contract terms, revenue recognition, quoting standards, and approval automation. Coach account executives and establish scalable processes for large, multi-location customers.

Own Netic’s go-to-market data foundation by defining account and contact standards, building TAM and data-quality models, maintaining territory and routing data, and creating enrichment, validation, dashboards, and alerts. Analyze conversion, coverage, and segmentation questions while automating recurring cleanup processes. The role requires strong SQL, spreadsheet modeling, Salesforce data expertise, and operational ownership of accurate B2B revenue data.

Own the architecture and technical direction of Netic’s go-to-market systems, integrating Salesforce, billing, finance, product data, and the warehouse. Build automated sales operations workflows, internal tools, and AI agents; ensure GTM data reliability, observability, testing, and deployment standards. Partner with Sales Ops, Deal Desk, and data teams, while helping hire and mentor future engineers.

Build Netic’s sales operations function from scratch, including territory and segmentation models, rules of engagement, sales metrics, dashboards, forecasting cadence, funnel analysis, quotas, capacity planning, and commission inputs. Partner with sales leadership, founders, and Finance while managing Salesforce operations and automating recurring processes. Establish scalable systems, data standards, and operating processes for a growing B2B sales organization.

Own full-cycle recruiting for sales and revenue operations roles, from outbound sourcing through offer close. Build repeatable sourcing strategies, engage passive candidates, define hiring profiles, improve interview processes, and use funnel metrics to optimize recruiting outcomes. Partner closely with leadership to raise the talent bar and compellingly sell Netic’s mission to high-performing commercial talent in a fast-growing startup environment.

Build and ship full-stack features for an AI platform, collaborating directly with customers to understand workflows and turn pain points into reliable products. Own delivery from specification through production, including data models, APIs, front-end development, testing, monitoring, and iteration. The 12-month in-person program also provides exposure to sales, leadership, startup operations, investors, and company building.

Build and deploy multimodal AI agents for essential service businesses. Partner with enterprise customers to map workflows, implement solutions, manage rollouts, measure outcomes, and iterate rapidly. Develop scalable, reliable systems supporting thousands of concurrent interactions; evaluate and fine-tune language and speech models, run experiments, optimize performance, and contribute insights to product and engineering roadmaps.