Top Tech Jobs & Startup Jobs

Own a portfolio of enterprise accounts for AirOps’ managed Offsite service. Lead onboarding, client strategy, publisher and placement planning, project execution, reporting, optimization, and stakeholder communications. Coordinate internal teams, manage timelines and risks, present performance insights and marketing recommendations, gather customer feedback, and help build scalable playbooks and processes for a developing service offering.

Build trusted data models, define metrics, ensure data quality, conduct analyses, and create dashboards supporting Product, Finance, GTM, executives, and customers. Present actionable insights, connect GA4, Google Search Console, and AI Search data to business outcomes, and develop reusable reporting frameworks. The role requires strong SQL, AI-assisted analytics, customer communication, and comfort operating in a fast-growing startup.

Develop enterprise account strategies for AI-search investments, partnering with Account Executives throughout the sales process. Lead strategic discovery, research, analysis, business-case development, opportunity qualification, and executive presentations. Coordinate internal specialists and turn successful approaches into repeatable sales frameworks, account-planning tools, and enablement materials.

Lead end-to-end product design for AI search and marketing platform features. Translate complex workflows and data into intuitive experiences, conduct user research, prototype rapidly, build scalable design systems, collaborate with product, engineering, and customer success, define product strategy, and mentor junior designers.

Generate qualified sales pipeline through prospecting, cold outreach, discovery calls, lead qualification, and relationship building with prospective clients. Collaborate with Account Executives on opportunity handoffs, maintain accurate CRM records, and use performance data to improve outreach. The role requires effective communication, strong listening and discovery skills, and comfort working independently in a fast-paced B2B SaaS environment.

Lead product marketing for AirOps’ AI-native software platform, including positioning, messaging, competitive differentiation, launches, seller enablement, beta programs, portfolio narratives, and product communications. Partner cross-functionally with Product, Sales, Customer Success, Services, Solutions Architecture, Research, and Marketing to support enterprise buying and market adoption. Own product and solutions website pages while adapting quickly to evolving products, customers, and AI search trends.

Rebuild AirOps’ customer marketing and advocacy strategy for enterprise growth. Create case studies, videos, customer quotes, proof points, references, and customer stories by partnering with Customer Success, Services, Sales, and Data. Expand the customer advocate and reference network, support enterprise sales conversations, recruit customer speakers, and own the Customer Advisory Board, including strategy, programming, executive participation, meetings, and engagement.

Lead product marketing for AirOps’ AI search measurement platform. Define ROI and attribution frameworks with product, services, sales, and customer teams; implement measurement programs with strategic enterprise customers; create positioning, content, webinars, analyst briefings, and enablement; influence the product roadmap; and evangelize AI search’s business value across the marketing industry.

Launches new products and verticals through customer-driven GTM experimentation. Tests positioning, messaging, packaging, and pricing with sales teams; joins customer conversations to validate demand; identifies market patterns; and converts successful experiments into repeatable sales motions, training, talk tracks, playbooks, and processes. Partners closely with Product and the GM of New Verticals in an execution-focused, zero-to-one environment.

Own and scale high-volume outbound email infrastructure supporting 500K+ monthly emails across client accounts. Responsibilities include optimizing deliverability, designing domain and inbox architecture, building campaign experimentation systems, refining LLM-powered personalization workflows, monitoring performance metrics, creating operational playbooks, and partnering with product and engineering teams to automate the outbound platform.