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Profound

AI answer-engine visibility analytics for brands

Manager – Solutions Consulting

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience in solutions consulting, sales engineering, or pre-sales in B2B SaaS, including at least 2 years managing Solutions Consultants, Sales Engineers, Solutions Architects, or a comparable technical customer-facing team.
  • Experience building a function rather than inheriting one, and comfort working without an existing playbook.
  • Technical fluency to discuss APIs, data models, integrations, business intelligence connections, and analytics workflows with technical and business audiences.
  • Ability to explain how large language models surface brands and how this differs from traditional search to both marketing executives and engineers.
  • Credibility with executive buyers and ability to frame a technical evaluation as a business narrative rather than a feature tour.
  • Ability to lift team performance through hands-on deal support and consistent execution.
  • Ability to partner collaboratively with Sales, Product, Engineering, and Engagement Management leadership.
  • Analytical approach to translating customer needs into measurable business value.
  • Curiosity about artificial intelligence, search, and how brands appear in generative experiences.
  • Entrepreneurial approach and comfort with ambiguity in a fast-moving, high-growth environment.

Responsibilities

  • Hire, ramp, and develop a team of Solutions Consultants in San Francisco, and own their coaching, performance, and career growth.
  • Shape technical strategy for the region's strategic deals, participate in key discovery calls, demos, proofs of concept, and executive readouts, and step in directly when needed.
  • Set standards for discovery, demos, proofs of concept, and technical evaluations, reinforcing them through call reviews, deal inspections, and one-on-ones.
  • Partner with San Francisco sales leadership on territory strategy, account planning, and deployment of solutions support.
  • Stay current on the platform as it ships and ensure the team stays current.
  • Design and evolve the demo methodology to communicate value across buyer needs including visibility, citations, agent traffic, and shopping.
  • Build the solutions toolkit with Product and Engineering, including demo environments, reusable assets, proof-of-concept frameworks, return-on-investment models, evaluation guides, and objection handling.
  • Own pipeline hygiene and technical deal visibility for solutions-involved opportunities in the region, surfacing risks, scoping needs, and dependencies early.
  • Route field feedback, product gaps, and competitive intelligence to Product and Product Marketing.
  • Champion AI tooling across the team for call preparation, demo delivery, and turning discovery notes into follow-up documentation.

About the Company

Profound

AI answer-engine visibility analytics for brands

Profound helps brands understand and improve how they appear in AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. Its product started as an analytics layer for AI search visibility and now includes research and marketing workflows to track competitors, shape content plans, and measure how AI systems recommend products. The platform analyzes AI-generated results and provides workflows that teams use to plan content and assess impact, rather than just traditional SEO tools. Its goal is to help large enterprises own and improve visibility in AI-generated answers, differentiating itself with a focused AEO/GEO approach and a large, growing customer base.

Company size
201-500
Company stage
Series D
Total funding
$334.5M
Headquarters
New York City, New York
Founded
2024

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