Jobs at Agility PR Solutions

The Account Executive will generate and close new B2B SaaS business in the mid-market segment. Responsibilities include outbound prospecting, lead qualification, discovery, product demonstrations, consultative selling, negotiation, contract execution, forecasting, and Salesforce pipeline management. The role owns the full sales cycle, builds strategic account plans, maintains pipeline coverage, engages senior decision-makers, and collaborates with Marketing, Enablement, and Product teams to achieve revenue targets.

Leads Agility’s editorial, communications, content marketing, research, and earned media programs. Owns Bulldog Reporter, audience growth, editorial standards, flagship research reports, survey methodology, PR outreach, analyst relations, awards, executive visibility, and thought leadership. Manages the Content Marketing Manager and collaborates with demand generation to align editorial and campaign priorities. Success depends on audience growth, credible research, media coverage, content performance, and strong editorial leadership.

The Content Marketing Manager produces editorial and campaign content, including blog posts, webinar materials, thought leadership, and journalism-focused publication content. The role manages internal and external contributors, coordinates assignments and deadlines, edits submissions, maintains editorial quality, and uses an AI-first drafting workflow with human refinement. Success requires high-volume writing, adherence to house style, contributor management, content performance analysis, and familiarity with PR and communications audiences.

Owns HubSpot administration, data architecture, campaign execution, attribution, dashboards, compliance, and marketing measurement. The role builds and monitors daily campaigns, governs the HubSpot-Salesforce integration, manages lead routing and lifecycle workflows, supports cold-email infrastructure, and instruments a conversational AI pilot. It also develops attribution recommendations, maintains consent and data-rights workflows, ensures deliverability and data hygiene, and communicates measurement methodology to marketing, sales, and executive stakeholders.

Own technical SEO, answer-engine optimization, AI/LLM visibility, and organic social media for a B2B technology brand. Develop search and topic strategies, measure visibility across AI assistants, manage social channels and campaigns, identify content gaps, and improve organic engagement, form fills, MQLs, opportunities, and revenue attribution. Collaborate with content, product marketing, communications, and operations teams while continuously testing and optimizing performance.

Leads B2B demand generation strategy across the full funnel, including campaign architecture, channel mix, outbound email, events, SEO, paid media, social, and cross-sell campaigns. Manages two marketing specialists, oversees paid programs, and partners with revenue operations, content, design, and sales. Owns MQL growth, attribution, testing, deliverability, pipeline quality, and operating metrics, with a goal of doubling or tripling MQLs within 12 months.

Own product positioning, narrative, and end-to-end launches for Agility’s AI-native PR platform. Translate product updates into collateral, webinars, sales enablement assets, and compelling customer-facing stories. Manage G2 reviews and enterprise case studies, including sourcing, interviews, metrics, and approvals. Maintain persona-to-feature mapping and a cross-sell whitespace map to support expansion campaigns. Partner with Product, Communications, Content, Design, Web, Sales Enablement, Field Marketing, and Demand Generation while tracking launch, review, and content performance.

Design, build, and scale production-grade agentic workflows and AI applications. Develop AI agents using TypeScript, LangChain, LangGraph, and LLMs; build Java REST services; integrate APIs and distributed data platforms; and establish practices for prompt evaluation, reliability, guardrails, observability, and performance. Collaborate on architecture and ambiguous product requirements, optimize AI workload costs and reliability, mentor junior developers, and contribute to technical direction.