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Be ready to walk a full value engagement: discovery questions, baseline metrics, ROI model structure, and how you’d prove impact after go-live for agent assist or conversation AI. Expect product fluency on contact-center AI and crisp stakeholder storytelling.
Strong fit if you enjoy consultative ROI work at a B2B AI company and can operate remote-US with sales and customer stakeholders. Thin public employee-review data here—validate culture and comp directly with the hiring team.
As a Business Value Consultant at Observe.AI, a typical day centers on quantifying ROI for voice/AI contact-center use cases: discovery with prospects and customers, mapping pain to product capabilities, building value models, and partnering with sales on business cases. You translate outcomes—efficiency, quality, compliance—into clear executive narratives and post-sale success metrics.
Yes—the listing is Remote-US (location data also references Oregon).
AI for contact centers, including real-time agent assist and related intelligence, per company and news coverage.
No—those figures are not in the provided data; ask the recruiter for ranges and sources.
Website: observeai.com
Public cache only — not an employee review.
Observe.AI is hiring a remote Business Value Consultant (Remote-US) to bridge enterprise pre-sales and customer success, turning AI-powered customer experience capabilities into measurable business outcomes. If you build playbooks rather than follow them, this full-time role puts you at the center of how leading brands realize value from conversational AI. About the Role As a Business Value Consultant at Observe.AI, you own the customer journey end to end — from value selling during the deal cycle through value realization after the sale. Roughly 30% of your time is spent shaping strategic enterprise opportunities alongside sales, and the remaining 70% is spent embedded with customers as a forward-deployed expert who quantifies ROI, uncovers optimization opportunities in the data, and advises senior stakeholders. This position is fully remote within the US and requires approximately 20–25% travel. Key Responsibilities Value selling: Team up with Account Executives and Solutions Engineers on enterprise deals — leading discovery, connecting customer pain points to the platform, and crafting business cases, dashboards, and ROI stories that land with economic buyers. Post-sales value realization: Partner with CSMs and Implementation Managers to grow adoption and retention through joint value sessions and industry- and KPI-specific plays, plus enablement on features, prompt engineering, reporting, and analytics. Applied data science: Run modeling workflows (regression, classification, clustering, forecasting) in Python and SQL — accelerated by AI coding tools — across use cases such as QA score lift, AHT reduction, and churn risk, validating findings with sound statistics. KPI monitoring & QBRs: Track metrics like QA, AHT, sentiment, and escalation rates; own dashboards in Looker, Tableau, or Power BI; and build QBR decks that quantify realized value at every milestone. Scaling workflows: Create reusable templates for QBRs and impact reviews, and deploy AI agents to automate recurring analysis and build a scalable insights knowledge base. Qualifications 1–3 years in analytics, data science, customer insights, value consulting, or customer success, ideally in B2B or SaaS. Technical fluency with Python (Pandas, scikit-learn, statsmodels) and SQL (Snowflake preferred), using AI coding tools (Cursor, Claude Code, Copilot) as your default workflow with the rigor to validate and debug output.…
Generated for personal interview prep · 2026-07-17 UTC · getajob.ai