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Statisfy

AI-driven platform optimizing customer success retention

Founding Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listed

About the Job

Requirements

  • At least 5 years in a customer-facing technical presales role such as Sales Engineer, Solutions Engineer, or Solutions Consultant, ideally selling business-to-business software as a service to United States enterprise or mid-market buyers.
  • A track record of building and delivering product demos and pilots that converted into closed revenue, and independently leading enterprise technical evaluations. Equivalent early-stage Sales Engineer experience counts.
  • Strong knowledge of software-as-a-service systems and integrations, including customer relationship management platforms such as Salesforce and HubSpot, support platforms such as Zendesk and Intercom, product analytics, business intelligence tools, and data pipelines.
  • Hands-on comfort with application programming interfaces, scripting, Structured Query Language, and workflow automation or low-code platforms sufficient to build a working pilot.
  • Hands-on experience with artificial intelligence tools such as Claude, Claude Code, Codex, or Cursor; familiarity with large language model agents; and ability to explain artificial intelligence concepts clearly to nontechnical buyers.
  • Ability to present to vice presidents of Customer Success and whiteboard integrations with data teams.
  • Ability to sustain United States Eastern Time business hours while based in India.

Responsibilities

  • Lead technical discovery to understand each prospect’s requirements, data sources, systems, and success criteria.
  • Build and run product demonstrations tailored to customer requirements, use cases, and data, using Claude and Claude Code; run day-in-the-life demonstrations and sandbox trials using customer data to demonstrate agents before purchase.
  • Scope pilots with clear success criteria, connect prospect data from customer relationship management, support, product usage, and communication tools, build agents and workflows to prove value, and drive pilots to a buying decision.
  • Serve as a trusted advisor to Revenue Operations, information technology, data, and security teams; address architecture, integration, and data-privacy questions; lead security reviews and questionnaires; answer requests for proposals and requests for information; and maintain a reusable answer library with fast turnaround.
  • Address build-versus-buy discussions with technical teams, including teams assembling agents with Claude and Model Context Protocol.
  • Co-own deal strategy with Account Executives, covering discovery calls, technical qualification, proposals, objection handling, and closing; own technical fit and proof while Sales owns the relationship and commercial terms.
  • Bring field insights, competitive intelligence, and prospect feature requests to Product to shape roadmap priorities.
  • Hand off successful pilots to Customer Success with documented requirements, configurations, and success metrics so onboarding can start quickly.
  • Build the Sales Engineer function by creating the demo environment, reusable demo agents and datasets, pilot playbooks, return-on-investment and value-case templates, and technical collateral for future Sales Engineers.

Desired Qualifications

  • Experience selling business-to-business software as a service to United States enterprise or mid-market buyers.
  • Experience handling security reviews, including SOC 2 or GDPR, or experience as an early Sales Engineer at a startup.

About the Company

Statisfy

AI-driven platform optimizing customer success retention

Statisfy offers an AI-powered platform for customer success that helps large companies strengthen relationships and reduce churn by surfacing actionable insights. It connects with 100+ systems to combine data from past interactions and product usage, then suggests actions teams can take, while calendar integration and call recording keep activities organized. It differentiates itself by emphasizing Net Revenue Retention and Gross Revenue Retention for enterprise clients and by prioritizing privacy and data protection. Its goal is to help companies grow their retained revenue by making customer success teams more productive and data-driven through a subscription-based suite of tools.

Company size
11-50
Company stage
Seed
Total funding
$1.8M
Headquarters
Menlo Park, CA
Founded
2014

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