Product Manager – AI Products

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BuzzBoard

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

BuzzBoard is a B2SMB account intelligence platform that transforms the way marketing and sales teams engage with small to mid-sized businesses (SMBs). By applying data science and digital signals to an extensive collection of business intelligence, BuzzBoard uncovers data-driven insights that help drive meaningful conversations and increase sales throughout the customer lifecycle. The platform focuses not only on generating leads but also on addressing the reasons why prospects and customers will want to engage, offering capabilities for micro-targeting, upselling, and cross-selling, as well as automated monitoring of top accounts to enhance retention.

📋 Description

• Own one or more product lines, including outcomes, roadmap, sequencing, and quality bar • Write product, engineering, model, and handoff-readiness specifications for engineering • Design agent behavior, including prompt architecture, output schemas, logic, guardrails, and failure handling • Build working HTML prototypes with live model calls before engineering commitment • Define and run evaluations, score output batches, set ship/no-ship thresholds, and drive iteration • Make model tradeoffs involving model choice, context strategy, latency, token cost, fine-tuning, prompting, and retrieval • Work directly with engineering, GenAI, and design on daily execution • Maintain schema and interface contracts between agents • Interface with customers and enterprise partners, including US-based partners undergoing security, privacy, and compliance reviews • Instrument and analyze usage, quality, cost, and drift, then act on the findings

🎯 Requirements

• 4+ years in product management, ideally B2B SaaS • Hands-on experience with LLM/agent products, including prompt design, structured output, retrieval, tool/function calling, and evaluation • Fluency using AI tooling for specs, prototypes, analysis, and code reading • Ability to read code and API contracts to review schemas, follow pipelines, and identify bad interfaces • Track record of shipping features to customers with measured outcomes • Strong written communication for technical and executive audiences • Comfort operating with ambiguity and short cycles • Preferred: degree in AI/ML, Engineering, Computer Science, or a related technical field • Preferred: experience with OpenAI, AWS Bedrock, Anthropic/Claude, LangChain, or equivalent orchestration stacks • Preferred: experience with voice AI, agentic workflows, or multi-agent systems • Preferred: experience with fine-tuning, dataset curation, or model performance analysis • Preferred: experience working with US customers and enterprise partners • Preferred: SMB or marketing-technology domain knowledge

🏖️ Benefits

• Fully remote • Genuine ownership of a product line, with the latitude to shape it • Work at the current frontier of applied AI product development — agent systems, evals, voice, and multi-model orchestration in production • A small, high-context team that moves quickly and argues about the work • Real impact on the small businesses our customers serve