chownow - Senior Revenue Enablement Program Manager
Requirements
• 6+ years of experience in Sales Enablement, Revenue Enablement, or Sales Performance roles supporting Account Executives or Account Managers in a SaaS or high-growth technology environment • A proven track record leading enablement programming lifecycles end to end • Deep understanding of SaaS sales cycles (especially SMB) • Demonstrated experience turning a diagnosed performance gap into an AI-powered workflow or tool that changed rep behavior at scale — not just using AI to draft content, but designing a system reps interact with in their day-to-day work • Comfort working hands-on with AI/automation tools (e.g., Gong AI, generative AI platforms, workflow automation tools) to prototype and ship these workflows without heavy engineering support • Experience operationalizing discovery and value frameworks into scalable programs (BANT, MEDDPICC, etc) • Strong data fluency — ability to tie enablement initiatives to measurable business impact (win rate, ACV, pipeline conversion, ramp time, etc.) • Experience partnering closely with Sales, Product Marketing, RevOps, and frontline Sales Managers • Experience supporting call coaching platforms (Gong) and embedding coaching frameworks into manager rhythms • Excellent executive communication skills; comfortable presenting to senior leadership • Strong organization skills and can lead multiple concurrent initiatives without losing quality or velocity
Responsibilities
• Diagnose Gaps & Design AI-Powered Rep Workflows • Mine call recordings, CRM data, pipeline metrics, and win/loss trends to pinpoint specific productivity gaps by rep, segment, or stage (e.g., weak discovery on a given package, slow follow-up after demo, inconsistent qualification) • Translate identified gaps into AI-powered workflows that intervene at the point of work — e.g., real-time call prompts, auto-generated next-best-action nudges, AI-drafted follow-up emails tailored to deal stage, or automated coaching flags routed to managers • Own the full loop: gap identification → workflow design → rollout → adoption measurement → iteration, so workflows keep pace with what the data is showing • Prioritize which gaps are worth building an AI workflow for vs. addressing through traditional training, based on rep time saved and expected impact on productivity metrics (activity volume, cycle time, win rate) • Drive Key Enablement Initiatives • Product Enablement: Lead end-to-end enablement strategy for new product, pricing, and positioning launches — partnering with Product Marketing to translate messaging into talk tracks, demo flows, competitive positioning, and launch certification programs with measurable adoption metrics (call behaviors, pipeline mix, win rate impact) • Skills & Everboarding Enablement: Design ongoing AE development programs across core selling motions, operationalizing skills frameworks (e.g., MEDDPICC) into repeatable training with structured learning journeys tied to tenure and performance • Leadership Enablement: Build and deliver manager playbooks and coaching tools — for both first-time and tenured frontline managers — to inspect call quality, qualification depth, and deal strategy, supporting coaching cadences that drive measurable lift in win rates • Use AI tools (e.g., Gong AI, Claude, Notion AI, or similar) to accelerate production of talk tracks, battlecards, and certification content, and keep it current as messaging evolves • Measure Impact & Partner Strategically • Define success metrics for every initiative, tracking leading indicators (behavior change, certification completion, call quality) and lagging indicators (win rate, ACV, ramp time) • Quantify the productivity lift from each AI-powered workflow (time saved per rep, activity or output increase, downstream effect on pipeline/win rate) and use that data to decide what scales • Serve as a trusted advisor to Sales leadership, aligning enablement priorities to revenue goals and presenting impact insights to executives • Act as the internal champion for AI-driven productivity gains across the Revenue org — helping reps and managers adopt the workflows you build, not just the tools themselves • ## Within 30 days you'll... • Complete ChowNow New Hire Onboarding Experience • Build strong relationships with Sales leadership, frontline managers, Product, Marketing, and RevOps • Audit existing AE enablement programs, onboarding, assets, certifications, and tooling • Review pipeline metrics, win/loss data, and call recordings to identify execution gaps • Identify top 3 performance levers impacting AE productivity — and flag which ones are candidates for an AI-powered workflow vs. traditional enablement • Get up to speed on ChowNow's current AI and call-intelligence tooling (e.g., Gong AI) and what's already been tried • ## Within 60 days you'll... • Roll out and measure at least one high-impact enablement initiative identified • Design and launch new AI-powered workflows targeting a specific identified gaps (e.g., an automated coaching flag, a next-best-action prompt, an AI-assisted follow-up workflow) and begin tracking the impact on rep productivity • Establish an ongoing AE everboarding calendar tied to performance data • Present early progress and insights to Sales leadership • ## Within 90 days you'll... • Achieve defined adoption metrics for at least one major initiative • Show a measurable productivity result from at least one AI-powered workflow (e.g., time saved per rep, increased activity, improved conversion at the targeted stage) and a plan to expand or retire it based on the data • Demonstrate early indicators of revenue impact (improved discovery quality, improved pipeline hygiene, increased attach rate, etc.) • Finalize and socialize a 6–12 month AE enablement strategy that includes a pipeline of future AI-powered workflows tied to ongoing gap analysis
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