[All remote jobs](https://jobicy.com/jobs.md)Open role[![DataGrail logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/35efc72a-221.jpg)](https://jobicy.com/company/datagrail.md)Remote opportunity at[DataGrail](https://jobicy.com/company/datagrail.md) # Senior Product Marketing Manager Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/datagrail.md)Share24 Aug 2026Published37Listing views3Application actions23 Sep 2026Apply before Opportunity details ## About this role. AI SummaryDataGrail is seeking a Senior Product Marketing Manager to build and own a scalable launch and enablement engine for its agentic data privacy platform. The role leads product launches, field enablement, competitive and voice-of-customer intelligence, and AI-enabled product-content workflows. Success requires translating complex privacy and technical capabilities into clear positioning, collateral, sales playbooks, and measurable adoption programs. This is a high-impact individual contributor role partnering closely with Product, Growth, Sales, and Customer Success in a fast-shipping B2B SaaS environment. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role requires building foundational launch systems from scratch while managing continuous product releases and end-to-end Tier 1 launches. It also demands strong cross-functional influence, technical storytelling, and practical AI workflow design in a complex privacy category. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$160,000US market range$140k–$185k0$204k AI insightThe disclosed base compensation range is $150,000 to $170,000 USD yearly, with a midpoint of $160,000. This aligns with the US market for a senior B2B SaaS product marketing manager who owns launches, enablement, and competitive intelligence; total compensation may be higher when equity and other benefits are considered. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product marketing](https://jobicy.com/jobs?search_keywords=Product%20marketing.md)[B2B SaaS](https://jobicy.com/jobs?search_keywords=B2B%20SaaS.md)[Go-to-market strategy](https://jobicy.com/jobs?search_keywords=Go-to-market%20strategy.md)[Product launches](https://jobicy.com/jobs?search_keywords=Product%20launches.md)[Sales enablement](https://jobicy.com/jobs?search_keywords=Sales%20enablement.md)[Positioning and messaging](https://jobicy.com/jobs?search_keywords=Positioning%20and%20messaging.md)[Competitive intelligence](https://jobicy.com/jobs?search_keywords=Competitive%20intelligence.md)[Voice of customer](https://jobicy.com/jobs?search_keywords=Voice%20of%20customer.md)[AI workflow design](https://jobicy.com/jobs?search_keywords=AI%20workflow%20design.md)[Cross-functional project management](https://jobicy.com/jobs?search_keywords=Cross-functional%20project%20management.md) Sample interview questionsHow would you build a continuous product-launch program for a team that ships frequently?I would begin by mapping the release cadence, audience impact, and current handoffs, then establish clear launch tiers with required deliverables, owners, timelines, and success metrics. I would create reusable messaging, enablement, and collateral templates so teams can execute consistently without treating every release as a net-new project. A regular release calendar and retrospective process would help continuously improve speed and quality. Describe how you would translate a complex privacy or AI capability into compelling positioning. I would first clarify the underlying customer problem, target persona, and differentiated outcome rather than starting with product features. I would validate the narrative through customer conversations, sales-call reviews, and competitive research, then develop a concise value proposition supported by proof points and use cases. Finally, I would test the messaging in sales enablement, launch content, and customer-facing channels and refine it based on adoption and feedback. What should an effective field-enablement program include for a major product launch? It should give customer-facing teams a clear understanding of who the feature is for, which problem it solves, why it matters now, and how it differs from alternatives. Core materials would include a launch brief, messaging framework, demo guidance, discovery questions, objection handling, battlecards, and customer-ready assets. I would reinforce these materials through live training, office hours, and a feedback loop that identifies gaps in real selling situations. How have you used AI to improve marketing operations rather than only individual productivity? I would use AI within governed, repeatable workflows such as transforming approved product inputs into draft release briefs, persona-specific content outlines, enablement materials, and content variants. The process should include source-of-truth inputs, brand and messaging guardrails, human review, and measurement of cycle time and asset performance. This makes AI a scalable operating capability while protecting quality and accuracy. Which metrics would you use to evaluate the success of a Tier 1 product launch? I would use a balanced scorecard spanning readiness, reach, adoption, and commercial impact. Examples include field-training completion and confidence, content engagement, qualified pipeline influenced, feature activation, usage depth, customer feedback, win-rate movement, and retention or expansion signals where applicable. I would define targets before launch and review results with Product and GTM partners to identify follow-up actions. ### The Opportunity: Data privacy has become one of the most strategic challenges facing modern enterprises — sitting at the intersection of AI governance, data operations, and customer trust. As companies adopt AI at scale, they need new ways to automate privacy and manage risk without slowing innovation. DataGrail has launched the first agentic privacy platform, and we’re entering a pivotal phase of growth as we scale toward the next stage of the business. DataGrail is shipping innovative products faster than ever before to meet our customers’ needs and outpace the competition. As a Senior Product Marketing Manager, you’ll build the launch and enablement engine that turns that product velocity into customer adoption and revenue. You’ll ensure every release reaches the right audience, equip our GTM teams to confidently communicate the value of new capabilities, and help customers understand how the DataGrail platform solves their most important privacy challenges. This is a foundational, high-impact role. The systems, enablement programs, and AI-powered workflows you build during your first six months will shape how DataGrail brings new capabilities to market, helping accelerate adoption, support revenue growth and set the business up for long-term success. ### What You’ll Do * Design and own a continuous launch program that scales with our release process * Deliver field enablement that instills confidence and empowers customer-facing teams to effectively position new capabilities and win deals * Own competitive and voice-of-customer intelligence, turning it into messaging, battlecards, and playbooks that convert our target buyer * Use AI to build a repeatable product content workflow, producing consistent, high-performing product content across formats and channels * Take full, end-to-end ownership of Tier 1 launches, including strategy, cross-functional coordination, execution, and measurement * Partner across Growth, Product, Sales, and CS to build consensus and drive shared outcomes. ### What You’ll Bring * 3–5 years of product marketing experience in B2B SaaS * A track record of building (not just running) launch programs from scratch * Strong positioning and product content instincts, ability to produce high-performing product content across formats and channels * Expertise in using AI tools to build innovative, efficient solutions to complex challenges * Strong project management skills, you’ve run multi-stage, multi-stakeholder initiatives with true ownership * An understanding of what Sales and Customer Success teams need to effectively position, sell, and support new products * Technical aptitude to understand complex concepts and translate them to compelling stories ### Bonus Points * Experience in privacy, security, or another trust-driven B2B category with complex competitive dynamics * Experience owning competitive intelligence programs that directly informed product roadmap decisions * A history of building AI-driven workflows that improve how teams work, not just your own personal productivity ### What Success Looks Like ### Within 90 Days You’ll: * Adopt the existing launch tiering framework * Become an SME on our story, positioning, ICP, and personas * Identify gaps in current systems for a continuous-shipping world * Build a roadmap to refine tiering and launch process to match shipping pace * Establish release tracking with the product team ### Within 180 Days You’ll: * Build an AI framework for structure and speed at continuous-shipping pace * Stand up a repeatable process for collateral and field-facing docs * Run point on all tier 2 and tier 3 launches * Launch and adoption KPI dashboards live * Establish a field feedback loop with GTM teams ### Within 365 Days You’ll: * Full launch and enablement system live, powered by the AI framework * At least one tier 1 launch owned end-to-end * Recognized as a key partner to product and GTM teams * Messaging framework refined based on customer feedback, new products, and market shifts Please note that the base compensation range below is a guideline and the final compensation will be based on factors such as qualifications, skill level, and competencies. Our compensation ranges apply to all US-based job postings regardless of state. All full-time regular employees are eligible for equity, health, dental & vision insurance plans, remote-first working environment, 401k savings plan, parental leave, wellness benefits, flexible time off, paid holidays, and a work from home stipend. Benefits are subject to change. Compensation Range $150,000—$170,000 USD ### About Us: DataGrail is the Agentic Data Privacy Platform. We help the world’s leading brands such as HubSpot, FanDuel, Dexcom, Major League Soccer, and Okta automate privacy and control risk with secure, human-governed AI that scales. Powered by Vera, the complete privacy AI agent, and underpinned by an unrivaled 2,500+ integrations and no-compromise security architecture, DataGrail is built to solve complex privacy challenges that others can’t. DataGrail is rated 4.8/5 stars on G2 and is a two-time recognized privacy leader by IDC. DataGrail provides equal opportunities for everyone that works for us and everyone that applies to join our team, without regard to sex or gender, gender identity, gender expression, age, race, religious creed, color, national origin, ancestry, pregnancy, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, any service, past, present, or future, in the uniformed services of the United States (military or veteran status), or any other consideration protected by federal, state, or local law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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