Posted:3 days ago|
Platform:
On-site
Full Time
Boardroom-ready leader who lives Data, AI, and agentic architectures. Own presales and solutioning: translate complex AI/ML and modern engineering into crisp business value, shape winning proposals, and run end-to-end presales—from discovery and solution design to final presentation. Strategy-led role (not delivery management) with direct CXO exposure.
• Make “AI-first” real: trusted data foundations, RAG with provenance, multi-agent systems, LLMOps/MLOps, safety/governance, and ROI-anchored business cases.
• Create repeatable assets (blueprints, demos, BoMs, pricing models, SOW templates) to lift win rate and velocity.
• Partner with sales and leadership to run high-impact pursuits; craft boardroom-grade decks/demos that simplify complex tech.
• Engage CXOs on value, TCO/ROI, risk; steer solution trade-offs and commercial positioning.
• Lead discovery and reference architectures spanning Data Engineering, AI/ML, vector search & RAG, agent orchestration, observability, identity & policy.
• Build accelerators: architecture blueprints, demo scripts, evaluation frameworks, security/compliance checklists, “AI Readiness” playbooks.
• Drive thought leadership (POVs, whitepapers, webinars) and enablement (workshop kits, discovery questionnaires).
• Align sales, delivery, product, and marketing; ensure feasibility with delivery leaders.
• Cultivate hyperscaler/ISV partnerships (AWS/GCP/Azure, Snowflake/Databricks, vector DBs, observability, ServiceNow, Salesforce).
•Evaluation & safety (guardrails, red-teaming), identity & policy, FinOps/cost-to-serve.
• 6–8 reference architectures and 3–4 reusable demos for priority use-cases (agentic ops, AI-assisted testing, AI service desk, search & insights).
• Observable lift in deal velocity and attach rate for AI components across pursuits.
• High autonomy, direct leadership access, and multi-industry impact.
• Freedom to experiment, create, and define how AI is sold—responsibly and at scale.
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