The Challenge
Sequoia-backed AI platform hit $14M ARR in under a year. You're their first dedicated growth ops hire-building the entire MarTech stack and operational engine from scratch while scaling alongside a hyper-growth team.
Your Mission
Design and implement HubSpot configuration end-to-end, integrating Default (routing) and Loops (automation) with clean data architecture
Map and document all handoff processes between Growth, Sales, and Engineering; establish lead scoring rules that align teams
Audit and select remaining MarTech stack tools (BI platform, attribution tool, prospecting AI); get all systems talking
Build first-pass performance dashboard tracking pipeline velocity, cost-per-qualified-lead, and email engagement across channels
Launch multi-touch attribution model connecting paid, email, and web touchpoints to pipeline and revenue impact
Automate 60%+ of manual prospecting and campaign enrichment workflows using Clay and other AI-driven tools
Establish repeatable experimentation cadence with Growth lead-test landing pages, email flows, and nurture sequencing with clear success metrics
Scale HubSpot workflows to support 3x pipeline volume while maintaining data hygiene and reducing manual touches by 40%
KPIs You'll Own
Marketing-sourced pipeline (dollars)
Total qualified pipeline generated by demand gen efforts each month, tracked by source and campaign.
Cost per qualified lead
Blended CAC across paid, email, and inbound channels with attribution to first meaningful touchpoint.
Lead-to-opportunity conversion rate
Percentage of MQLs that convert to sales-qualified opportunities within 30 days.
Experimentation velocity
Number of concurrent tests running; success rate of winning variants that get scaled.
Data quality score
Percentage of CRM records with complete required fields; automation error rate in HubSpot workflows.
Tools & Stack
Your Team
Your Manager
Head of Growth
Current Team
First dedicated growth ops hire; reporting directly to Head of Growth; cross-functional with Sales and Engineering
New role-zero-to-one position
The Package
Salary
$140K-$210K
Equity
Meaningful ownership stake in high-growth company
Remote
On-site in San Francisco Bay Area
Benefits & Perks
Company Intelligence
Hyper-growth AI platform that helps enterprise teams (Google, Microsoft, Nestlé) uncover customer insights in hours instead of months. Scaled from $0 to $14M ARR in under a year. Sequoia-backed, defining a new category.
Funding
Sequoia-backed
Customers
Google, Microsoft, Nestlé
Is This Role For You?
- You have 3-9 years B2B SaaS or growth operations experience and live/want to be in SF
- You're a HubSpot expert who can configure from scratch and manage end-to-end without hand-holding
- You love systems thinking-building scalable workflows and reducing friction through automation and data
- You thrive in startup chaos and want complete ownership over an entire function from day one
- You're fluent in spreadsheets, BI tools (Looker/Mode), and GA4-and actually enjoy digging into data
- You need visa sponsorship (not available for this role)
- You're not comfortable working on-site full-time in San Francisco
- You lack hands-on HubSpot configuration experience-this isn't a high-level ops role, you'll be in the weeds
- You're looking for a stable, process-heavy environment; this role demands adaptability and problem-solving in a fast-moving hyper-growth context
Interview Process
Recruiter Screen
Initial fit check on background and motivation
Hiring Manager Interview
Deep dive with Head of Growth on relevant experience and approach to MarTech strategy
Video Interview
Technical conversation (likely focused on HubSpot, data architecture, or systems design)
Take-Home Assignment
Practical case study or architecture exercise (possibly MarTech stack design or workflow optimization)
Onsite
In-person in San Francisco-meet the team and finalize fit
Ready when you are
Interested in this role?
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About Marketing Ops roles
Marketing ops professionals own the tech stack, data flows, and processes that make marketing teams efficient. They manage automation platforms, reporting infrastructure, lead routing, and attribution models.