Overview

Define vision, strategy, roadmap, and success metrics for Coheres products to include ratifying the Companys Product Strategy and Positioning for both the long-term (2 years) and short-term horizon (6 months) in regard to the evolution of Agentic Systems. Evaluation of Agentic AI Systems including Agents, RAG, and Search and Retrieval and define the set of representative benchmarks used to evaluate progress on products and models across a set of defined enterprise capabilities. Guide our engineering efforts based on the needs of both customers and developers including evaluation of long-running Agentic AI Tasks utilizing stateful architectures and sandbox code execution environments to ensure that we are improving in ways that solve business problems for our customers. Be a translator between the commercial sphere of user needs and customer opportunities, and engineering teams and provide finetuning of Search and Retrieval Models including Bert-Based, Cross-Encoder, and Col-Pali for specific domains including finance, legal, customer support and e-commerce. Work with co-founders, Engineering, and Design by championing collaboration, communication, and process improvements. Research the competitive landscape, industry trends, and stay up to date on the latest AI industry trends to find new product ideas and conduct Pre and Post Training for Search and Retrieval Models including Bert-Based, Cross-Encoder and Col-Pali. Establish processes to verify results of long-running multi-hop enterprise tasks with skilled domain workers through evaluation of Agents in domain specific workflows with Human-In-The-Loop Responses. Understand the changing regulatory landscape and socio-economic impacts of this technology and embed solutions for the correct guardrails for enterprise security, compliance, and ethics including evaluation of Agentic AI Systems on safety and security guardrails with respect to both Responsible AI strategies and the impact on latency profiles. Ratify the Product Triage Process to build a robust backlog incorporating feedback from customers, top-of-funnel and evaluation and promote a culture of learning and provide mentorship to team members in how to scale processes, product intuition and operations. Set the direction for Annual and Quarterly Product Organization Goals and Strategy to inform the road mapping process by working with the leadership to create Product-wide OKRs which proliferates to sub-team OKRs.Education and Experience RequirementsRequires a Bachelors (or foreign educ. equiv.) Degree in Software Engineering or a closely related field and two (2) years of experience in the job offered or related.Special Skills RequirementsExperience must have included: Conduct Pre and Post Training for Search and Retrieval Models including Bert-Based, Cross-Encoder and Col-Pali; Evaluation of Agentic AI Systems including Agents, RAG, and Search and Retrieval; Finetuning of Search and Retrieval Models including Bert-Based, Cross-Encoder, and Col-Pali for specific domains including finance, legal, customer support and e-commerce; Evaluation of long-running Agentic AI Tasks utilizing stateful architectures and sandbox code execution environments; Evaluation of Agents in domain specific workflows with Human-In-The-Loop Responses; Evaluation of Agentic AI Systems on safety and security guardrails with respect to both Responsible AI strategies and the impact on latency profiles; Establishing the Product Roadmapping Process integrating feedback from internal and external stakeholders including a roadmap roadshow with marquee partners; Ratifying the Product Triage Process to build a robust backlog incorporating feedback from customers, top-of-funnel and evaluation; Ratifying the Companys Product Strategy and Positioning for both the long-term (2 years) and short-term horizon (6 months) in regards to the evolution of Agentic Systems; and Working with leadership to create Product-wide OKRs which proliferates to sub-team OKRs.Trave