Product Manager

As Senior AI Solutions Product Manager you’ll own product strategy and delivery across internal transformation and a growing external AI revenue practice. You’ll lead discovery, design pragmatic tool + custom solutions, enable Business Development with demos/prototypes and pricing, and drive delivery across blended teams. This is a player‑coach role — hands‑on, commercially minded, and technically fluent. Key Responsibilities AI strategy & roadmaps : own multi-horizon AI/ML roadmaps that balance internal capability-building with revenue-generating client solutions; prioritize product bets by measurable outcomes (efficiency, adoption, revenue). Trend & vendor intelligence : continuously evaluate models, vendors, and tools (e.g., OpenAI, Anthropic/Claude, Hugging Face); maintain a technology/vendor watchlist and recommend PoCs. Discovery & solution design : run structured discovery with technical and non‑technical stakeholders; map workflows, data sources, business rules, and success criteria; translate findings into requirements, acceptance criteria, and phased delivery plans. Productize & price : design pragmatic solutions combining off‑the‑shelf AI, workflow automation, integrations, and custom development; convert successful client engagements into templated, repeatable offerings; define pricing and packaging (retainer, project, usage, outcome‑based) and pilot commercial terms. Sales enablement & prototyping : partner with Business Development on pitch narratives, demo flows, quick‑turn prototypes, workshops, and executive presentations to convert pilots into repeatable engagements; co‑own pipeline contribution and help shape the AI service portfolio. Partner & channel development : identify, activate, and manage strategic partners — including training providers, MSPs, and technology resellers — that extend BERPL’s AI reach and accelerate client acquisition. Delivery leadership : lead blended onshore/offshore teams (engineers, data scientists, automation specialists, BAs) through discovery → build → onboarding → iteration using agile tooling (Azure DevOps, Jira, or equivalent); manage a growing portfolio of concurrent client engagements with disciplined prioritization. Production readiness & governance : define MLOps/monitoring, retraining/rollback plans, observability, documentation, and responsible‑AI practices; account for privacy/compliance (FERPA/COPPA/vendor risk) as applicable. Must-Haves 5+ years product management, solution ownership, or technology delivery experience. 2+ years delivering AI/ML, automation, data, or analytics products/solutions (or equivalent hands‑on projects). Demonstrated success running discovery with mixed‑technical audiences and delivering prototypes/demos that supported sales or operational decisions. Strong technical fluency across the modern AI stack: LLMs/prompting, embeddings/vector search, RAG architectures, and MLOps fundamentals; practical knowledge of leading model families (OpenAI GPT, Anthropic Claude, Google Gemini, Llama, Mistral) and the ability to recommend the right model for cost, latency, accuracy, and compliance requirements. Proven ability to define scope, requirements, acceptance criteria, and success metrics tied to measurable business outcomes. Experience co‑owning or directly influencing revenue outcomes — not just supporting sales, but shaping what gets sold, how it’s priced, and whether it scales. Demonstrated ability to productize services — taking a successful client engagement and turning it into a repeatable, packageable offering. Excellent executive communication and consultative sales skills. Genuine alignment with a values‑driven, employee‑owned culture where accountability, relationships, and long‑term thinking matter. Preferred At least two industry‑recognized AI or delivery certifications or equivalent hands‑on experience (examples below). Experience leading blended onshore/offshore teams and using Azure DevOps/Jira. Experience managing a portfolio of concurrent client engagements across multiple accounts or workstreams. Practical familiarity with workflow automation platforms (Power Automate, n8n, Make), Microsoft Copilot/Power Platform, vector DBs and RAG frameworks. Experience building or activating partner channels — resellers, training partners, MSPs, or technology alliances. Experience defining pricing/packaging and supporting proposal development. #J-18808-Ljbffr