Content Implementation Manager, Gainsight

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: We’re seeking a Customer Success Platform Content Implementation Manager to own the build, quality, and ongoing maintenance of our Gainsight content— including playbooks, health rules, and human handoff alerting logic. This role sits at the intersection of customer marketing and RevOps, translating lifecycle strategy into scalable, reliably-functioning CSP content. You’ll be the Customer Marketing content builder in Gainsight, ensuring every playbook is built to specification, monitoring and reporting on their success to lifecycle managers and CS counterparts. Who You Are: 5+ years of hands-on experience building and maintaining playbooks, rules, and workflows in Gainsight CSP (required) Demonstrated experience designing alerting or handoff logic between marketing/lifecycle systems and human teams (CS, Sales, RevOps) Strong systems-thinking mindset with a track record of building for scale — able to anticipate where logic will break as volume, segments, or use cases multiply Experience partnering closely with RevOps or CS Ops on shared data models, CRM integrations, and cross-system dependencies Rigorous approach to QA and documentation; comfortable establishing process and standards where none exist Familiarity with customer health scoring, lifecycle segmentation, or adoption frameworks strongly preferred Analytical mindset with the ability to troubleshoot logic issues independently and communicate root cause clearly to non-technical stakeholders Excellent cross-functional communication and project management skills; able to manage multiple concurrent build requests and competing priorities B2B SaaS experience preferred; customer marketing, customer success, or RevOps background all relevant What You’ll Do: Own end-to-end build of Gainsight CSP playbooks — from requirements gathering with lifecycle marketing, CS, and RevOps stakeholders through configuration, testing, and launch Design and maintain human handoff alerting logic in partnership with RevOps, ensuring the right signals route to the right owners at the right time with minimal false positives or missed triggers Establish and enforce build quality standards (naming conventions, documentation, QA/testing protocols, version control) so playbooks scale cleanly as new use cases and teams are added Monitor and report on live playbooks and alerts on an ongoing basis, proactively identifying and resolving breakage, logic drift, or data issues before they impact customers Partner with Lifecycle lead and RevOps on data architecture and system dependencies (CRM, health score inputs, product usage data) that feed CSP logic, flagging upstream issues that affect playbook accuracy Build and maintain internal documentation of playbook logic, ownership, and change history to support auditability and smooth handoffs as the team scales Continuously evaluate the playbook portfolio for redundancy, performance, and opportunities for consolidation or optimization as lifecycle and adoption strategy evolves Serve as Customer Marketing Gainsight subject matter expert, advising lifecycle marketing and CS stakeholders on capabilities and constraints when building new initiatives For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. You may also be offered a performance-based bonus, equity, and a generous benefits program. Base Compensation Range $99,200—$124,000 USD AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. 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