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Ohalo

Seed-based accelerated crop breeding platform

Product Manager - AI-Native Business Systems

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USA$140k - $190k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Analytics, or a related quantitative field is preferred.
  • Fluency in SQL and Python, with comfort interfacing with modern API and data architecture.
  • At least 5 years of product management experience building internal platforms, business systems, or operational tooling with company-wide scope.
  • Deep understanding of AI technology concepts, including large language model evaluation frameworks, Model Context Protocols, and agent orchestration or harnessing.
  • Daily use of AI tooling, agentic coding harnesses, or vibe-coding platforms for prototyping and workflow design.
  • Demonstrated history of converting manual, Excel-based, or fragmented multi-department processes into scalable automated systems.
  • Ability to earn cross-functional trust with Commercial, Operations, G&A, and Engineering through effective collaboration and delivery of useful tools.

Responsibilities

  • Partner across engineering teams to extend core AI capabilities across the business and drive company-wide adoption of agent infrastructure.
  • Define and govern Model Context Protocol integrations and agent skills, ensuring native agents have secure, reliable access to internal tools and systems of record.
  • Establish operational evaluation frameworks and consistent feedback loops; monitor AI agent performance, latency, accuracy, and cost-to-serve, and refine skills and prompts to improve output quality.
  • Define, standardize, and govern key performance indicators across Commercial, Operations, People, and G&A so leadership uses a unified source of truth calculated at the system level.
  • Identify repetitive manual reporting and execution workflows, deploy AI-native automations, and measure return on investment, operational efficiency gains, and time saved.
  • Personally prototype initial workflows and reporting to validate proofs of concept before scaling them across platform engineering.
  • Enforce platform governance so new agent tools and dashboards integrate with Ohalo's core architecture rather than creating fragmented user-interface layers or data silos.

Desired Qualifications

  • Direct experience partnering with AI Operations, machine learning operations, or Core Infrastructure teams to productize AI tools internally.
  • Experience in a Business Systems, BizOps, or ProductOps function at a high-growth startup.
  • Experience with graph databases or complex data warehouse integrations.
  • Background in an operationally intensive, data-rich vertical such as robotics, life sciences, or advanced manufacturing.

About the Company

Ohalo

Seed-based accelerated crop breeding platform

Ohalo Genetics develops seeds using Boosted Breeding, a method that makes plants pass on their entire genome to offspring, enabling asexual reproduction through seeds. How it works: by altering the reproductive process, the offspring are genetically identical to the parent, producing true seeds that carry the full parent genome. This allows rapid development of new crop varieties with desirable traits, shortening breeding cycles from about 10–12 years to only a few years. What sets it apart: it targets a wide range of crops (potatoes, corn, berries) and collaborates with other agricultural companies to develop and commercialize new varieties, focusing on predictable, genotype-stable outcomes. What the company aims to achieve: increase crop productivity and resilience to changing environmental conditions, helping improve the food supply chain by delivering better-yielding, more reliable crops.

Company size
51-200
Company stage
Late Stage VC
Total funding
$100M
Headquarters
South San Francisco, CA
Founded
2019

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