About this opportunity
SentinelOne, Inc. lists this Senior GTM Engineer (Inbound) opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Speed up lead response. Build automations that route, score, and respond to inbound leads in minutes, not days. Own the systems behind speed-to-lead
Build inbound AI agents. Design and deploy chat agents, form-follow-up agents, and lead-qualification agents that work the top of the funnel around the clock
Personalize the conversion path. Build and integrate website personalization, dynamic forms, and content recommendations tied to visitor intent and account data
Own the lead lifecycle stack. Integrate marketing automation, CDP, enrichment, intent data, and CRM so a lead’s data and status stay accurate at every handoff (e.g., Marketo/HubSpot, Salesforce, Segment, ZoomInfo/Clearbit, 6sense)
Automate content and SEO ops. Build workflows that support content production, on-page optimization, and performance tracking at scale
Make quality measurable. Build evals for lead-scoring accuracy, chat agent quality, and routing correctness against human baselines
Build the guardrails. Implement human-in-the-loop review for anything customer-facing, plus logging and rollback paths
Coach and document. Bring marketing ops and demand gen up the AI curve. Build playbooks and reusable templates
Ramp across a clear arc: in months 1 to 3, embed with one or two priority teams, map their highest-friction workflows, and ship your first end-to-end automation with a real evaluation harness behind it; in months 4 to 6, expand to additional use cases, stand up reusable templates and a shared prompt and skill library, and start coaching the teams you have served toward running things themselves; in months 7 to 12, own a meaningful slice of the GTM stack and its agentic workflows, demonstrate measurable impact in cycle-time, output quality, and capacity, and hand off matured systems to their owning teams
Own the year-one outcome: several of the highest-friction workflows in the teams you support running on systems you built and instrumented, those teams increasingly self-sufficient, a growing library of reusable and documented templates others build on, and provable quality, with an evaluation behind every deployed system and a rollback path in front of it
Benefits
Medical, dental, and vision coverage
Employee assistance program
Gym reimbursement
Incentive-based challenges
Mental health and mindfulness
Unlimited Time Off
Grandparent Leave
Volunteer Time Off
Paid Sick Time
Paid Holidays
16 weeks Gender-Neutral Parental Leave
Restricted Stock Unit Program
Flexible Spending Accounts
Life Insurance
Short and Long Term Disability Insurance
401K
Team building activities
Celebrations and social gatherings
Community volunteering events
Global all hands and local town hall events
Fluency with the modern GTM stack and how data moves through it (CRM, marketing automation, enrichment, outreach, analytics), and comfort owning integrations and pipelines between themStrong prompt architecture skills and practical experience with agent frameworks, orchestration platforms (e.g., n8n, Make), and API/MCP integrationsA builder's instinct paired with GTM judgment: you understand funnels, ICP, and buying signals, and you decide what is worth automating based on revenue impact, not novelty6 or more years across growth/GTM marketing, marketing/revenue operations, systems, or solutions engineering, including hands-on time building automation or AI into real GTM workDemonstrated experience designing, building, and deploying AI agents and agentic workflows that changed real work, not just using AI tools but building with themWorking proficiency in at least one of SQL, Python, or JavaScript, enough to build lightweight tools, integrations, and workflowsA B2B and enterprise SaaS background, with familiarity with brand-safety and compliance constraints on automated outputsComfort coaching non-technical teammates through AI adoption and anticipating resistance without relying on positional authorityExperience building evaluation frameworks for AI systems (prompt evals, benchmarking, regression testing)Practical experience fine-tuning or heavily customizing models for production use cases
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.