Full-Time

Sr Technical Program Manager

ML & Robotics Platform

Updated on 9/3/2026

Blue River Technology

Blue River Technology

201-500 employees

Agricultural robotics optimizing chemical usage

Compensation Overview

$133k - $238k/yr

+ Bonus

H1B Sponsorship Available

Remote in USA

Remote

Bachelor's

Category
Project & Program Management (1)
Required Skills
Agile
Machine Learning
JIRA
Confluence

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Requirements
  • At least 7+ years of experience driving complex, cross-functional technical programs.
  • Strong track record of building alignment across diverse technical teams without formal authority.
  • Excellent communication skills with the ability to translate complex architectural concepts into clear, actionable program milestones.
  • Bachelor’s degree in Computer Science, Data Science, Engineering or related technical discipline; or equivalent practical experience.
  • Proficiency with agile project management tools such as Jira and Confluence.
  • Strong analytical and problem-solving skills with large-scale systems.
  • Excellent communication, time management, and prioritization skills.
  • Systems design or technical architecture experience, with the ability to understand and contribute to high-level system design discussions.
Responsibilities
  • Serve as the outcome and domain owner for a portfolio of technical programs; be prepared to bootstrap ambitious, ambiguous, large-scale strategic initiatives into clear, structured execution paths.
  • Weave complex, cross-organizational interdependencies into a singular, harmonious program strategy that unifies diverse engineering groups.
  • Evangelize the program's strategy across the core platform engineering teams and the robotics programs that use our foundational tooling.
  • Replace administrative status updates with an authoritative, bottom-up framework that clearly articulates milestones, sequences, and critical paths to executive leadership.
  • Act as a high-velocity roadblock smasher, using your program tooling to identify engineering bottlenecks and re-chart course as necessary to guarantee high-quality, on-time program delivery.
  • Build the connective tissue between cross-functional groups, ensuring deep understanding, operational symmetry, and goal alignment across teams.
  • Shape and contribute deeply to strategic roadmaps for developing our robotics platform.
  • Work cross-functionally to develop best practices and development processes in a dynamic environment, driving impact through the deployment of key initiatives and garnering adoption of those processes.
Desired Qualifications
  • Background in machine learning, computer vision, and/or robotics.
  • Experience managing data science, machine learning, computer vision, robotics, or autonomy programs.
  • Experience with cloud-based full-stack engineering development, including frontend, backend, and infrastructure.
Blue River Technology

Blue River Technology

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Blue River Technology builds intelligent agricultural robots that help farmers use chemicals more efficiently. Its machines use computer vision and machine learning to see crops and weeds, then decide where to apply herbicides or other treatments, reducing chemical use and environmental impact. The products are sold or leased to farmers, with service and data analytics support to keep machines running and help farmers improve yields. What sets Blue River apart is its focus on precision agriculture—combining advanced vision, learning algorithms, and robotics—to automate routine farming tasks and optimize input use rather than simply spraying everywhere. The company aims to increase crop yields for customers while lowering environmental impact, contributing to sustainable farming on a global scale.

Company Size

201-500

Company Stage

Acquired

Total Funding

$30.4M

Headquarters

Sunnyvale, California

Founded

2011

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Simplify Jobs

Simplify's Take

What believers are saying

  • John Deere launched See & Spray Gen 2 in January 2026.
  • Gen 2 adds nighttime spraying, higher speeds, and broader crop coverage.
  • Targeted application reduces herbicide usage, matching farmers’ input-cost and labor pressures.

What critics are saying

  • Deere owns Blue River, so product strategy follows Deere’s sprayer roadmap, not Blue River’s.
  • See & Spray now ships as a Deere feature, compressing Blue River’s standalone identity.
  • If Deere shifts budgets to autonomy and tillage, Blue River becomes an expendable feature team.

What makes Blue River Technology unique

  • Blue River’s See & Spray Gen 2 uses cameras and real-time plant-level decisions.
  • John Deere still markets Blue River technology across 400R and 600R sprayers in 2026.
  • The system expands across wheat, barley, canola, peanuts, sugar beets, corn, soybeans, cotton.

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Benefits

Paid Time Off

Sick Leave

Paid Parental Leave

Adoption Benefit

Subsidized Lunches

Flexible Work Hours

Collaborative and Supportive Environment

Medical Package

Growth & Insights and Company News

Headcount

6 month growth

12%

1 year growth

12%

2 year growth

12%
AGFunder News
Feb 9th, 2026
Polybee raises $4.3M for drone-based yield forecasting and pollination in greenhouses

Singapore-based Polybee has raised $4.3 million in a seed round led by Paspalis Capital and elev8 VC to scale its pollination and yield forecasting technology. SEEDS Capital and strategic angels, including Blue River Technology founder Jorge Heraud, also participated. Founded in 2019, Polybee deploys self-recharging drones equipped with cameras to monitor crop quality and health, providing AI-powered yield forecasts. The drones can also pollinate greenhouse crops through patented airflow technology, eliminating reliance on bumblebees. The company has secured commercial contracts with major producers in Australia, the US and UK. Case studies show three times profit improvement in spinach and broccoli operations, whilst autonomous pollination delivered up to 15% higher yields in greenhouse crops. The funding will support Polybee's five-fold expansion to over 4,000 acres in 2026.

Securities.io
Apr 26th, 2024
Advancing Agriculture With Ai And Genetic Engineering – The Future Of Cultivation

Creating New Food CropsSince the dawn of agriculture, mankind has turned wild weeds into domesticated crops, which have higher nutritional content, better taste, are easier to harvest, and have larger seeds.However, modern breeding of food crops has resulted in selection for traits like a stronger response to fertilizer, pesticides, and irrigation, resulting in more fragile varieties that are dependent on high-input agricultural systems.Climate change, soil erosion, invasive species, and weeds have created strong pressure on these over-selected crops.This process of domestication was also slow and “blind”, with new traits randomly discovered and selected over decades if not centuries.Most of the world's crops come from a handful of “domestication events” in a few regions of the world, leaving plenty of possible domestication to be done.For now, new selection and breeding procedures of crops by agricultural firms have been focused on adding traits like water-stress resistance or pest and disease resistance to modern crops, with mixed results.The main issue is that a lot of these desirable traits identified in wild species are multigenic, created by many genes, often dozens or even hundreds of them, making genetic modification of cultivated crops close to impossible.Another option is emerging, called “de novo domestication”. The idea is that instead of taking high-yield modern crops and trying to make them as resistant as wild weeds, why not take already resistant wild weeds and make them as productive as modern crops?New Crops And New ProblemsCreating New Food SourcesThe traits desirable in a cultivated crop variety tend to be less complex, often directed by just one or a handful of genes. In addition, these genetic features are generally well understood.So, the de novo domestication approach has the potential to produce new types of crops that could display resistance to environmental shifts and good enough yield and characteristics as food.Especially when you take into account new tools like CRISPR, that allow for very specific and controlled gene editing, including adding and removing a gene, or editing specific bases of an existing gene. Considering that CRISPR is now being approved for gene therapies in humans, it is likely that the legal framework for CRISPR-edited crops will open up in many countries.The technical details of how it could be done can be found in scientific publications, for example, “ Future-Proofing Agriculture: De Novo Domestication for Sustainable and Resilient Crops ”.Getting Lost In The WeedsAn issue that arises by turning weeds into food crops is that, obviously, the new crops will be very similar to weeds. In the article “ De novo domestication: what about the weeds? ”, researchers at the University of Copenhagen looked at this question.In it, they admit that the traditional GMO approach to weed management (herbicide resistance) is unsustainable and causes too much pollution.Instead, they propose that robotic weeding technology could be boosted by genetic engineering to create a much more environmentally friendly weed management system.When Advanced Robotics Meet Advanced Gene EditingRobots Weeding FieldsThe de novo crops (and potentially, modified existing crop varieties as well) could be modified to make their identification easy for weeding robots.This could be a boon for farming robots, a topic we discussed in our article “ Investors Should Take Note: Robotics Is Taking Over Farming ”, where we presented a variety of weeding robots:Ecorobotix ’srobot combines machine vision with precision spraying to reduce by up to 95% the volume of pesticide and herbicide used.’srobot combines machine vision with precision spraying to reduce by up to 95% the volume of pesticide and herbicide used. Naio Technologies aims to remove herbicide from the field fully, with a 5-ton autonomous robot driving the field and shredding or uprooting the weeds with small blades

Securities.io
Jan 30th, 2023
Investors Should Take Note: Robots Are Taking Over Farming

In pre-modern time, most of the economic activity was driven by the primary sector: farming, husbandry and other food production. With the industrial revolution, our economies have been increasingly driven by first industry, then services. This made the primary sector, while still responsible for the vital task of food production, increasingly invisible in terms of economics.A key factor was the mechanization of farming. In poor, under-developed regions like Africa, farming can be the livelihood of a majority of the population and is responsible for as much as 15% of GDP. In countries like the US, farming is less than 1% of GDP.Mechanization and industrial farming led to several trends, almost all of them detrimental to the environment:Expansion of massive monocultures over thousands of acres, instead of diversified ecosystems with hedges, multiples species, etc…Massive dependence on chemical fertilizers.Intensive use of pesticides and herbicides, leading to ecological damage and water pollution.Degradation of soils fertility from deep plowing, fertilizers, fungicide, and compaction under the weight of increasingly large tractors.Decline in biodiversity of crops, with just a handful of varieties representing often 80%-90% of total production.Lower nutritional value of the food produced.This is not sustainable. Bees’ population is threatened by “colony Collapse Disorder” , likely triggered by pesticides