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Remote Seed Science Jobs in California (NOW HIRING)

Percy Towers

Junior Associate Corporate M&A

Palo Alto, CA · On-site +1

$235K - $290K/yr

New York, NY (primary office) Schedule: Full-time, in-office with occasional remote flexibility ... Drafting and negotiating venture financing documents (SAFEs, convertible notes, Series Seed/Series ...

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Remote Seed Science information

What is remote seed science?

A Remote Seed Science job involves studying seeds and their biology, genetics, and production from a remote location, such as a home office or laboratory. These professionals may work on projects related to seed development, quality testing, genetic improvement, or conservation, often using digital tools and remote collaboration with other scientists, farmers, or companies. Remote Seed Scientists typically analyze data, write reports, and participate in virtual meetings rather than being physically present in a laboratory or field.

What are the key skills and qualifications needed to thrive as a remote seed scientist?

To thrive as a Remote Seed Scientist, you need a strong background in plant biology, genetics, and agronomy, often supported by a degree in a relevant field such as plant science or agricultural science. Proficiency with data analysis software, remote sensing technologies, and laboratory management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills are essential soft skills for collaborating with remote teams and stakeholders. These competencies are crucial for advancing seed research, ensuring data accuracy, and driving innovation in agricultural productivity from a distance.

What are some typical challenges faced by professionals in remote seed science roles, and how can they be addressed?

Professionals working in remote seed science often encounter challenges such as limited access to laboratory facilities, reliance on digital communication for team collaboration, and the need to manage fieldwork logistics from a distance. Overcoming these hurdles commonly involves leveraging data management tools, maintaining regular virtual meetings with colleagues, and coordinating with local partners or field technicians to ensure timely data collection. Building strong digital communication skills and utilizing cloud-based research platforms can help remote seed scientists stay connected and productive.

What are the most commonly searched types of Seed Science jobs in California?

The most popular types of Seed Science jobs in California are:

What are popular job titles related to Remote Seed Science jobs in California?

For Remote Seed Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Seed Science jobs in California look for?

The top searched job categories for Remote Seed Science jobs in California are:

What cities in California are hiring for Remote Seed Science jobs?

Cities in California with the most Remote Seed Science job openings:

Remote Seed Science jobs near you
Infographic showing various Remote Seed Science job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.

AI Product Manager - Data Products - 1808

PlacingIT

Sunnyvale, CA • On-site, Remote

$150K - $250K/yr

Full-time

Re-posted 20 days ago

Job description

AI Product Manager – Data Products - 1808
Location: Remote (United States)
Employment Type: Direct Hire - Full-Time Employment
Salary Range: $150,000–$250,000 Base Salary
Residency Requirements: U.S. Citizens and all other candidates authorized to work in the United States are encouraged to apply. Sponsorship is not available for this position. About the Role

We're looking for a highly technical AI Product Manager to help build next-generation AI-powered data products. You'll partner closely with engineering to define product direction, prioritize work, and translate customer and user feedback into technical requirements.

This role is ideal for someone who has worked in an early-stage startup, understands modern data infrastructure, and actively leverages AI tools in their daily workflow.

What You'll Do
  • Own product initiatives from concept through launch, focusing on technical users and data products.
  • Collaborate closely with engineering to prioritize product development and deliver customer value.
  • Gather user feedback and translate business needs into clear technical requirements.
  • Build and launch new AI-native products from 0 to 1.
  • Drive roadmap planning and prioritize features based on customer impact and technical feasibility.
  • Work with modern AI technologies to accelerate product development and improve internal workflows.
  • Partner with customers to understand evolving technical challenges and identify product opportunities.
  • Help shape the company's AI-first product strategy while contributing hands-on throughout the product lifecycle.
Required Qualifications
  • 3+ years of Product Management experience.
  • Experience building and launching products from 0 to 1 for technical users.
  • Product Management experience at an early-stage startup (Seed through Series B preferred).
  • Previous experience as a Data Engineer.
  • Strong understanding of the modern data ecosystem.
  • Experience building native Generative AI products, not simply adding AI features to existing software.
  • Strong technical communication skills with the ability to work directly alongside engineering.
  • Hands-on experience using AI tools as part of your daily workflow.
Technical Qualifications

Candidates should have experience with many of the following:

Modern Data Stack
  • ELT/ETL pipelines
  • Data Warehousing
  • dbt
  • Snowflake
  • Apache Spark
  • Data orchestration platforms
  • SQL
AI Technologies
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • AI evaluation frameworks
  • Prompt engineering
  • AI-assisted product development
AI Development Tools
  • Claude Code
  • Cursor
  • Codex
  • Similar AI coding and development tools
Education
  • Bachelor's degree in Computer Science, Mathematics, Engineering, or another technical discipline preferred.
What We're Looking For

The ideal candidate is highly technical, curious, and excited about building AI-native products in a fast-moving startup environment.

Successful candidates will demonstrate:

  • Strong technical depth in data engineering and AI.
  • Startup mentality with a hands-on approach.
  • Curiosity and passion for rapidly evolving AI technologies.
  • Ability to work independently with minimal direction.
  • Excellent communication between customers and engineering teams.
  • Low ego, collaborative mindset, and respect for teammates.
  • A genuine enthusiasm for experimentation and innovation.
Candidates Unlikely to Be a Fit

The following backgrounds generally do not align with this opportunity:

  • Career Product Managers from large, slow-moving technology companies (FAANG or similar).
  • Candidates who require highly structured or hierarchical work environments.
  • Professionals whose experience is primarily in data science or analytics rather than product development.
  • Candidates without hands-on experience building AI-native products.
  • Product Managers without a strong technical foundation in modern data platforms.