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Mintive

Enterprise AI governance and security platform

Founding Sales Engineer

Pre-Sales Solution Engineering +1Posted on Nov 11
Full-time

About the Job

Requirements

  • The candidate has 4 or more years of experience, ideally as a sales engineer, solutions engineer, presales engineer, solutions architect, forward-deployed engineer, or business value consultant, and understands how a technical sale moves from first call to signature.
  • The candidate has sold complex technical products such as infrastructure, security, or developer tools rather than apps.
  • The candidate comes from software engineering or a logic-based field such as computer science, mathematics, physics, or engineering; track record matters more than the degree.
  • The candidate can build a custom integration, debug a deployment, and get a proof of concept working independently.
  • The candidate has built business cases that closed deals and is comfortable with enterprise financial modeling and buyer metrics including return on investment, total cost of ownership, net present value, internal rate of return, and payback.
  • The candidate understands enterprise infrastructure, identity and security, the modern technology stack, and how software teams ship.
  • The candidate can run discovery interviews with a chief information security officer, a platform lead, and a finance partner, and produce a defensible baseline.
  • The candidate can communicate with engineers and executives in the same meeting and explain both the business value and technical operation of the product.
  • The candidate makes account executives more effective and is effective working on their deals.
  • The candidate is AI-native or able to become so quickly, and is genuinely curious about AI, agents, and company adoption of them.
  • The candidate can move quickly with limited process and prefers building a sales motion rather than inheriting one.

Responsibilities

  • Partner with account executives on every deal, from near-term wins to multi-quarter strategic opportunities.
  • Lead technical discovery with security, platform, and engineering teams to map customer systems, identity models, agent use cases, and risk posture.
  • Run demonstrations, design proofs of concept with clear success criteria, and implement them hands-on.
  • Establish a baseline with business and technical stakeholders covering current workflows, existing agent access, and risks from over-permissioning.
  • Quantify the future state and present return on investment, total cost of ownership, and payback that a chief financial officer or chief information security officer can present to leadership.
  • Translate technical concepts into business outcomes so engineering wins can support budget decisions.
  • Help customers go live, including hands-on setup of custom Model Context Protocol servers and middleware, and provide support when needed.
  • Lead value-realization reviews with existing customers and turn results into proof points, references, and expansion opportunities.
  • Create demo environments, proof-of-concept templates, return-on-investment models, business-case templates, and customer value stories.
  • Coach account executives on technical discovery and value selling, and write playbooks and onboarding materials for future sales engineers.
  • Bring field learnings to product and engineering, advocate for customer needs, and communicate confidently about the roadmap.

Desired Qualifications

  • DevOps background and enjoyment of customer-facing work.
  • Experience with Model Context Protocol or AI agent tooling.
  • Background in business and technology strategy consulting, or a degree in business, economics, or finance alongside technical depth.
  • Experience running value-realization or customer-success reviews that led to expansions.

About the Company

Mintive

Enterprise AI governance and security platform

Mintive provides an infrastructure platform for enterprises to govern AI agents, including access control, monitoring, and cost management. Its MCP Gateway and LLM Gateway route all agent traffic to enforce tool and model permissions and block unsafe actions. Agent Identities, Agent Monitor, Mint Guard, and Coworker Agents offer identity, observability, safety, and collaboration features for autonomous agents. The goal is to enable secure, auditable deployment of AI agents at scale for security- and IT-focused teams, with customers like Coursera, Braze, Stability AI, and Eurostar, and with SOC 2 Type II compliance and custom pricing.

Company size
11-50
Company stage
Seed
Total funding
$7M
Headquarters
San Francisco, CA
Founded
Not listed

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