Top Tech Jobs & Startup Jobs

Supports product marketing operations through KPI tracking, dashboard development, reporting, and ad hoc analysis. Measures content adoption, seller engagement, sales play utilization, pipeline influence, and win-rate differences. Synthesizes field feedback, call intelligence, and deal outcomes into actionable insights for PMM and sales leadership. Maintains weekly and quarterly reporting cadences, identifies anomalies and blockers, and recommends areas for investment or improvement.

Own the sales play portfolio, PMM content governance, and GTM readiness programs for a B2B SaaS organization. Manage play lifecycles, content standards, launch coordination, field enablement, adoption measurement, and portfolio health. Partner with product marketing, sales, RevOps, product, marketing, and enablement teams to drive seller effectiveness. Analyze usage, pipeline influence, win rates, field feedback, and deal data to improve content and readiness programs.

Lead the strategic account organization for Intapp’s largest private capital markets and investment banking customers. Own retention, net revenue retention, expansion pipeline, multi-product growth, account planning, executive negotiations, forecasting, and platform expansion. Manage, coach, and develop Client Development Directors while personally engaging senior client executives in complex expansion opportunities.

Leads strategic enterprise deal execution across Intapp’s largest SaaS transactions. Advises sales executives on pricing, deal structure, negotiations, financial trade-offs, and customer value. Establishes governance and approval processes while aligning Sales, Finance, Legal, Customer Success, and Product. Builds the strategic deals operating model, analytics, execution metrics, and AI-enabled capabilities to improve deal velocity, commercial outcomes, and enterprise selling effectiveness.

Own the global revenue forecasting process for net-new business and renewals across weekly, monthly, quarterly, and annual cycles. Analyze CRM and operational data using SQL and BI tools, build executive dashboards and forecasting models, and identify pipeline, conversion, bookings, and renewal risks. Partner with Sales, Customer Success, Service Delivery, Finance, and Business Systems to align assumptions, improve data quality, and enhance forecast accuracy. Lead adoption of AI-enabled predictive analytics and automation for revenue planning.

Leads global revenue strategy and operations, including annual and multi-year planning, forecasting, territory and quota design, sales capacity, compensation structures, executive reporting, and AI transformation. Builds analytical models, dashboards, and KPI frameworks while presenting strategic recommendations to senior executives and board-level audiences. Partners across Sales, Customer Success, Finance, HR, and IT to improve revenue performance and seller productivity in a high-growth SaaS environment.

Work with Marketing and Sales to convert inbound and prospect leads into early-stage sales opportunities. Use CRM and marketing automation to manage and improve pipeline, target data, and reporting. Conduct outreach, research prospects, support campaigns/events, and coordinate between field reps and support functions to advance sales.

Lead revenue growth across Intapp's largest legal accounts by building multi-threaded executive relationships, identifying upsell and renewal opportunities, managing pipeline with accurate CRM usage, reducing churn, and representing Intapp at industry events and marketing initiatives.

Own and grow a global portfolio of data and vertical-AI partners to drive pipeline, partner-sourced revenue, co-innovation, co-marketing, and co-selling. Build joint value propositions and multi-year partner roadmaps, enable data integrations with Celeste (via MCP and agent integrations), manage executive relationships, engage in sales opportunities, embed partner plans into business units, and report partner outcomes while working cross-functionally and traveling as required.

Lead end-to-end AI deployments, working closely with enterprise teams to drive adoption, improve workflows, and deliver impactful AI solutions.