USARevOps Manager (Marketing)
1 мес. назад
USAMiddleRemote
crmdata integrationai tools
Manage and architect marketing technical infrastructure, data models, and integrations to enable marketing, sales, and customer success alignment in a SaaS company.
Обязанности
- We’re hiring a RevOps Manager, reporting to the Revenue Operations Lead, to own the technical infrastructure that powers our marketing engine. This is a builder role. You’ll architect our marketing data model within our CRM, integrate new data sources, and implement AI tools across our marketing programs. You’ll partner closely with our Product Marketing Managers (campaigns, launches), our Events & Community team (conferences, virtual webinars, community programs), and our Growth Product team (a high-speed engineering team focused on product signups and onboarding). You’ll act as the connective tissue for Marketing, Sales, and CS initiatives so every launch ships with the execution and reporting these teams need to operate in lockstep.
- You’ll work alongside two other RevOps Managers and together, you’ll form the core team that makes our GTM motion efficient, scalable, and increasingly intelligent. This role is ideal for someone who is an equal parts systems thinker and hands-on builder, someone comfortable writing SQL queries in the morning and presenting a quarterly business review to leadership in the afternoon.
Требования
- Builder mentality: You'd rather create a scalable system than do the same manual task twice
- Curious about AI: You're excited (not anxious) about how AI is changing marketing and you want to be the person figuring out how to use it
- Strong communicator: You can explain technical concepts to non-technical stakeholders and translate business requirements into system design
- Ownership-oriented: You don't wait to be told what to do. You see a gap, propose a solution, and drive it forward
- Collaborative: You know that the best systems are built in partnership with the people who use them whether that's a PMM, an Events Manager, or a Growth Product engineer
Будет плюсом
- Familiarity with product analytics tools and how product event data feeds lifecycle marketing
- Experience with data enrichment vendors and intent data providers
- Experience supporting field marketing, events, or community programs
- Experience with BI tools or data warehouses
Условия
- For US-based candidates, the target salary range for this role is $130,000–$155,000 base + quarterly performance bonus (10–15% of base) plus equity. Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location. We’re committed to paying competitively and equitably.
- 100% covered health, dental, and vision insurance for employees (50% for dependents)
- Generous PTO, including parental leave
- 401(k)
- Company laptop and home-office stipend
- Bi-annual company retreats
- is evolving rapidly. You’ll always have new challenges and opportunities to grow here.
- is an equal opportunity employer. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status. We encourage candidates from all backgrounds to apply. If you need a reasonable accommodation during the application or interview process, please let us know.
Другое
- Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We’re fixing that.
- is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska. Collectively they’ve moved over $1 billion through our platform.
- We’re doubling year over year, customers love us (NPS 65+, Ellis PMF 60+), and we’re hiring people who want to build something that matters.
- Own and maintain our marketing data model in HubSpot, ensuring clean object relationships, consistent field architecture, and scalable structure as we grow
- Build and maintain data pipelines connecting external sources (product usage, event platforms, enrichment providers, ad platforms) into our marketing systems
- Establish data governance standards and ensure data quality across all marketing systems, from campaign attribution to lifecycle stage definitions
- Partner with Growth Product to instrument signup and onboarding events, ensuring product data flows cleanly into HubSpot
- Build and refine lead scoring and segmentation models based on conversion data and PMM feedback
- Evaluate, implement, and optimize AI tools that enhance marketing productivity
- Build automated workflows that reduce manual work: enrichment on inbound signups, event follow-up sequences, intelligent nurture branching, and onboarding triggers
- Partner with PMMs and the Events team on adoption of new tools
- Stay current on emerging AI/automation capabilities and bring a POV on what to test next
- Build and maintain dashboards providing visibility into funnel health, channel performance, campaign ROI, event ROI, and signup-to-activation conversion
- Document metric definitions, scoring logic, and attribution methodologies to ensure transparency across Marketing and GTM teams
- Partner with Growth Product and MM to define launch KPIs and stand up dashboards that give Marketing, Sales, and CS shared visibility
- Own integrations between marketing tools (HubSpot, event platforms, community tools, ad platforms, enrichment, product analytics, data warehouse)
- Evaluate new tools and make build-vs-buy recommendations
- Ensure our marketing tech stack is lean, well-integrated, and delivering ROI
- 3-5+ years in Marketing Operations, Revenue Operations, or a GTM Systems role at a B2B SaaS company
- Hands-on experience with marketing automation and CRM administration (HubSpot preferred)
- Data architecture experience: you’ve designed or significantly improved a marketing data model and connected multiple systems
- Analytical mindset: you make decisions based on data and know how to measure whether a campaign or experiment is working
- Comfortable partnering with product and engineering teams