Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 7
CRM
Compliance @ 3
JavaScript @ 6
Python @ 6
SQL @ 6
Salesforce @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
SentinelOne is seeking a senior individual contributor to build AI agents, automations, and integrations that accelerate prospecting, improve targeting, and surface actionable signals for sales development representatives and account executives. The role focuses on shipping outbound automation, improving pipeline quality and deal velocity, and coaching go-to-market teams on AI adoption.
Responsibilities
- Build prospecting agents that research accounts, create lists, and draft personalized outreach for SDRs.
- Design sequencing intelligence to optimize send times, cadence steps, and messaging using engagement data.
- Build agents that analyze call recordings and CRM activity to identify risk flags, buying signals, and next-best actions for AEs.
- Own and integrate the outbound technology stack, including Outreach or Salesloft, Gong or Chorus, Salesforce, and ZoomInfo or Clearbit.
- Build automations that identify stale deals, missing data, and forecast risks.
- Create evaluation frameworks for outreach personalization quality, call-summary accuracy, and signal precision against human baselines.
- Implement human-in-the-loop review, logging, and rollback paths for representative- or customer-facing automation.
- Coach SDRs, AEs, and revenue operations teams on AI adoption and create playbooks and reusable templates.
- In the first three months, embed with priority teams, map prospecting, sequencing, call review, and deal progression workflows, and ship an initial prospecting or sequencing automation with an evaluation harness.
- In months four to six, deploy a deal-signal or call-intelligence agent for AEs and establish shared templates for outreach, personalization, and account research.
- In months seven to twelve, own a meaningful portion of the outbound automation layer, demonstrate improvements in pipeline per representative, cycle time, and forecast accuracy, and hand mature systems to SDR and AE leadership.
Requirements
- At least six years of experience across sales development, sales operations, revenue operations, or systems/solutions engineering, including hands-on experience building automation or AI for outbound or sales workflows.
- Demonstrated experience designing, building, and deploying AI agents such as prospecting, call-summary, or deal-signal agents that produced measurable pipeline or cycle-time improvements.
- Fluency with outbound technologies, including Outreach, Salesloft, Gong, Chorus, Salesforce, Clari, ZoomInfo, Clearbit, LinkedIn Sales Navigator, and Chili Piper.
- Strong prompt architecture skills and practical experience with agent frameworks, orchestration platforms such as n8n and Make, and API/MCP integrations.
- Working proficiency in at least one of SQL, Python, or JavaScript for building lightweight tools, integrations, and workflows.
- Understanding of quota, pipeline coverage, and deal stages, with the ability to prioritize work by revenue impact.
- Experience building AI evaluation frameworks, including prompt evaluations, benchmarking, and regression testing.
- Practical experience fine-tuning or heavily customizing models for production use cases is preferred.
- Familiarity with forecasting methodologies and pipeline hygiene practices is preferred.
- Ability to coach non-technical teammates through AI adoption and anticipate resistance without relying on positional authority is preferred.
- B2B or enterprise SaaS experience, including familiarity with brand-safety and compliance constraints for automated outputs, is preferred.
Benefits
- Restricted Stock Units and Employee Stock Purchase Plan.
- Flexible time off, paid company holidays and sick time, gender-neutral parental leave, and grandparent leave.
- Medical, dental, and vision coverage; 401(k) with company match; life and disability insurance; health and dependent care FSA; voluntary benefits; Employee Assistance Program; prepaid legal services; pet insurance; cancer care program; and global business travel medical insurance.
- Home office allowance and mobile phone reimbursement.
- Wellness coach, wellness or gym reimbursement, fertility coverage, and adoption and surrogacy reimbursement.
Compensation
The U.S. base salary range is $132,000–$182,000 USD and may vary based on the candidate's location. Different ranges may apply in some locations.
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