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AI Solutions Partner

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Forrester Research, Inc. (US)
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer, Technical Sales, Data Analyst, Digital Marketing
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Role Overview

We’re seeking an entrepreneurial, customer‑facing technologist to help bring Forrester AI to market across our North America end‑user organization. The AI Solutions Partner serves as the technical and commercial connective tissue between Forrester’s AI products and the buyers who need them, demonstrating the technology, translating it into business value, identifying client needs, packaging solutions, and helping close deals.

Responsibilities
  • Partner with the Vice President of Sales, end‑user, and frontline sales managers to embed Forrester AI into account strategies across the North America book of business.
  • Accompany account executives and account managers on early‑stage sales calls, discovery conversations, and executive meetings to demonstrate Forrester AI and articulate its value.
  • Deliver compelling demos of Forrester AI to a wide range of audiences, tailoring the narrative to each buyer’s role, industry, and maturity.
  • Explain the technical underpinnings of Forrester AI‑related solutions, including how the underlying research corpus, large language models (LLMs), retrieval, and integration patterns work in an enterprise context.
  • Uncover client needs through structured discovery and connect those needs to the right combination of Forrester offerings—both AI and non‑AI—including Forrester Decisions, advisory, consulting, and event services.
  • Help account executives and account managers package Forrester AI into compelling, well‑priced solutions that reflect client value and Forrester’s commercial model.
  • Assist sales teams during negotiations by addressing technical objections, clarifying scope, and helping structure deals that close.
  • Partner with sales enablement to develop and continuously refresh sales training, demo scripts, objection‑handling guides, battle cards, and certification content focused on Forrester AI and the broader Forrester portfolio.
  • Partner with customer success to develop client‑facing training and adoption materials that drive usage, value realization, and retention across the existing client base.
  • Serve as a structured feedback loop into product leadership, documenting field experiences, win/loss learnings, common objections, feature gaps, and competitive signals, and bringing them back to the AI product team.
  • Maintain a high cadence of internal coordination through standing meetings with sales, product, and customer success leaders, and document learnings in a way the broader organization can use.
  • Stay current on the generative AI (genAI) landscape, including LLMs, the Model Context Protocol (MCP), agentic architectures, and machine learning techniques, and translate that fluency into client‑ready conversations.
Qualifications
  • Proven experience in a customer‑facing technical sales, solutions consulting, sales engineering, or presales role—ideally in research, SaaS, or enterprise technology.
  • Experience designing and delivering software training, enablement content, or technical workshops for both internal teams and clients.
  • Working fluency in genAI fundamentals, including LLMs, prompt design, retrieval‑augmented generation, and the MCP.
  • Working knowledge of machine learning techniques sufficient to discuss them credibly with technical buyers and to identify the right Forrester response.
  • Working knowledge of AI security, data privacy, and emerging AI regulatory considerations relevant to enterprise buyers.
  • Familiarity with enterprise systems integration patterns and the deployment models that AI solutions typically follow within large organizations.
  • Strong consultative discovery skills and the ability to translate technical capability into measurable client outcomes.
  • Excellent presentation, demo, and storytelling skills, with the ability to adapt to audiences ranging from individual practitioners to C‑level executives.
  • Strong organization, documentation, and time‑management skills, with the ability to operate across multiple deals and internal work streams simultaneously.
  • A fast learner who is at ease with new technology and motivated to take a new product to market.
  • A collaborative, team‑first orientation and a high degree of comfort operating cross‑functionally with sales,…
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