11x
Posted 163 days agoVerified live 18h ago
Growth Engineer
Brief overview
San Francisco, CAIn-person
UndergradOr in progress
1+ yrsMinimum
4 H-1B approvalsDept. of Labor
Data analyticsExperimentationSystems thinkingFunnel analysisDashboard developmentModelingGTM systems design and optimizationInternal tool developmentWorkflow automationAI agent integrationQuantitative testingCross-functional collaboration
About the company
11x11x.ai
The autonomous digital workforce for GTM teams.
Visa sponsorship history
1 year sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.4H-1B approved
100%approval rate
1new H-1B hires
$215,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20254
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20252
Top sponsored roles
Product LeadMember of Technical Staff
Job description
Summary
11x is a rapidly growing AI company focused on building autonomous digital workers for business workflows. The Growth Engineer role is centered around scaling software-defined go-to-market systems, leveraging data analytics and experimentation to optimize revenue systems and drive efficiency.
Responsibilities
- Design, instrument, and optimize GTM systems that drive pipeline and revenue efficiency
- Collaborate deeply with Product and Engineering as a technical product expert, leveraging analytics, experimentation, and systems thinking to influence product design, prioritization, and iteration
- Analyze funnel performance across acquisition, activation, expansion, and conversion
- Build and maintain dashboards, models, and analyses that surface leverage points
- Partner with Sales, Customer Success and core engineering to improve pipeline quality, deal velocity, and POC-to-close conversion using data, not intuition
- Design and run structured experiments across channels, personas, and ICPs
- Define success metrics, analyze results, and translate findings into durable systems
- Identify failure modes, bottlenecks, and inefficiencies—and engineer fixes
- Build robust internal tools, workflows, and automations to improve GTM execution
- Leverage AI agents and internal systems to scale experimentation and execution
- Reduce manual effort by replacing ad-hoc processes with repeatable, automated systems
- Translate leadership goals into concrete, measurable execution plans
- Turn qualitative hypotheses into quantitative tests
- Document systems, frameworks, and learnings so improvements compound over time
Skills
- ~1+ years in a growth, analytics, revenue operations, GTM, or strategy role
- A computer science background (e.g., data analytics, engineering, quantitative business, applied math)
- Hands-on experience building or improving GTM systems not just managing processes
- Strong analytical instincts and comfort working with real, messy data
- Ability to collaborate with sales, growth, and leadership teams
Qualifications
Must Haves
- ~1+ years in a growth, analytics, revenue operations, GTM, or strategy role
- A computer science background (e.g., data analytics, engineering, quantitative business, applied math)
- Hands-on experience building or improving GTM systems not just managing processes
- Strong analytical instincts and comfort working with real, messy data
- Ability to collaborate with sales, growth, and leadership teams
