Senior Solutions Consultant
Listed on 2025-11-25
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IT/Tech
AI Engineer, Data Science Manager, Data Analyst, Data Security
Responsive, formerly RFPIO, is the market leader in a growing category of SaaS solutions called Strategic Response Management. More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon, Visa and Zoom, are using the Responsive platform to manage business‑critical responses—bids, questionnaires, assessments, and trust centers—that impact nearly half of a company's revenue. More than 35% of cloud‑SaaS leaders and more than 20 of the Fortune 100 standardize on Responsive, and the company has been voted "best in class" by G2 for 24 quarters straight.
Customers have used Responsive to close more than $750B in transactions to‑date. To learn more, visit responsive.io.
Responsive is seeking a Senior Solutions Consultant who blends master‑level storytelling with deep technical credibility in Generative AI and Agentic AI. You’ll partner with Account Executives and Account Managers to win new logos and drive expansions, translating complex requirements into clear business value, compelling demos, and disciplined Proofs of Concept (POCs). Approximately 30% of this role emphasizes AI/Agentic AI expertise—designing, explaining, and de‑risking LLM‑powered capabilities for enterprise buyers.
EssentialFunctions
- Own the technical sales motion from discovery through close across new logo and expansion opportunities; build deal strategy jointly with sales using MEDDPICC.
- Lead business‑value storytelling that resonates with executives and practitioners; translate requirements into value hypotheses and measurable success criteria.
- Design and deliver credible AI proofs—prompting strategies, retrieval‑augmented generation (RAG), agentic workflows, tool use/orchestration, and evaluation—while addressing safety, privacy, governance, and model drift.
- Explain model choices and trade‑offs (e.g., OpenAI/Anthropic/Vertex/Bedrock), embeddings/vector stores (e.g., Pinecone/Qdrant/FAISS), and guardrails against prompt injection and data leakage.
- Deliver compelling first‑ and second‑call demos and tailor deeper technical sessions by segment (SMB/MM/Enterprise/Majors); use self‑guided demo "leaves" and analytics to shorten time‑to‑prove.
- Partner with Demo Engineering/Programs to keep environments and test‑data fixtures reliable and reusable; log breakage and drive continuous improvement.
- Scope POCs with clear acceptance criteria, timelines, and success metrics; manage stakeholders, risk, and ROI to maximize POC→close conversion.
- Support Account Managers on expansion plays by diagnosing adoption gaps, quantifying impact, and positioning roadmap/AI capabilities to unlock additional value.
- Cross‑Functional
Collaboration:
Bring structured field feedback to Product and PMM teams. - Improve time‑to‑qualified demo and overall deal conversion %, increase demo reuse rate, and maintain accurate technical stages and risks in forecast.
- Master storyteller and value seller with strong command of MEDDPICC; able to connect technical depth to executive‑level outcomes.
- Significant presales experience (typically 7–12 years) in enterprise SaaS as a Solutions Consultant/Sales Engineer, successfully closing complex deals.
- Hands‑on Generative AI & Agentic AI expertise: prompting, RAG patterns, agent/tool orchestration, evaluation, and risk/safety controls; able to whiteboard architectures and trade‑offs.
- Demonstrated excellence designing and delivering tailored demos and POCs; disciplined in scoping, acceptance criteria, and success metrics.
- Comfort with cloud and enterprise SaaS contexts (e.g., AWS/Azure/GCP; data residency; SOC 2/ISO 27001; GDPR).
- Collaborative, data‑driven operator who inspects pipeline, documents technical risks, and executes with urgency.
- Fluency with LLM platforms and tooling (e.g., OpenAI/Anthropic/Vertex AI/Bedrock; Lang Chain/Llama Index; Pinecone/Qdrant/FAISS).
- Experience with demo automation/analytics tools (e.g., Consensus) and conversational intelligence (e.g., Gong).
- Background in Strategic Response Management, proposal/RFP automation, or adjacent content/knowledge workflows.
- Bachelor’s degree in a technical or quantitative field (e.g.,…
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