
Product Manager β AI Products
Posted Aug 7

Posted Aug 7
This is a fully remote position, open to applicants in United States.
β’ Take ownership of one or more product lines, overseeing outcomes, roadmap, sequencing, and quality standards.
β’ Create specifications for product, engineering, models, and handoff-readiness tailored for engineering teams.
β’ Design agent behavior, which encompasses prompt architecture, output schemas, logic, guardrails, and handling of failures.
β’ Develop functional HTML prototypes featuring live model calls prior to engineering commitment.
β’ Define and execute evaluations, score output batches, establish ship/no-ship thresholds, and lead iterations.
β’ Make informed model tradeoffs regarding model selection, context strategies, latency, token costs, fine-tuning, prompting, and retrieval.
β’ Collaborate closely with engineering, GenAI, and design teams for daily operational execution.
β’ Maintain schema and interface agreements between agents.
β’ Engage with customers and enterprise partners, including those in the US undergoing security, privacy, and compliance assessments.
β’ Instrument and scrutinize usage, quality, cost, and drift, then take action based on the insights gained.
β’ 4+ years of experience in product management, preferably in B2B SaaS.
β’ Practical experience with LLM/agent products, including prompt design, structured outputs, retrieval, tool/function calling, and evaluations.
β’ Proficiency in utilizing AI tools for specifications, prototypes, analysis, and code interpretation.
β’ Capability to read code and API contracts to assess schemas, trace pipelines, and identify poor interfaces.
β’ Proven history of delivering features to customers with measurable outcomes.
β’ Excellent written communication skills for both technical and executive audiences.
β’ Ability to thrive in environments characterized by ambiguity and rapid cycles.
β’ Preferred: Degree in AI/ML, Engineering, Computer Science, or a related technical discipline.
β’ Preferred: Familiarity with OpenAI, AWS Bedrock, Anthropic/Claude, LangChain, or comparable orchestration stacks.
β’ Preferred: Experience in voice AI, agentic workflows, or multi-agent systems.
β’ Preferred: Background in fine-tuning, dataset curation, or model performance assessment.
β’ Preferred: Experience collaborating with US customers and enterprise partners.
β’ Preferred: Knowledge of SMB or marketing-technology domains.
β’ Fully remote work environment.
β’ True ownership of a product line, with the freedom to influence its direction.
β’ Opportunity to work at the forefront of applied AI product development, including agent systems, evaluations, voice applications, and multi-model orchestration in production.
β’ Be part of a small, high-context team that operates swiftly and engages in constructive debates about the work.
β’ Make a tangible impact on the small businesses served by our customers.
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