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Full-Time

Production Operations Lead

Confirmed live in the last 24 hours

Sylvera

Sylvera

51-200 employees

Measures biomass using lidar technology

Energy
AI & Machine Learning

Senior

Newcastle upon Tyne, UK

Requires onsite presence in Newcastle for four days a week.

Category
Supply Chain Management
Operations & Logistics
Required Skills
SQL
Data Analysis
Requirements
  • At least 5 years of relevant experience (operations, business improvement, management consultancy)
  • Hands on experience with change management
  • Excellent stakeholder management
  • Experience managing teams
  • Process design experience
  • Strong analytical skills and experience handling data and building metrics, Excel / SQL / BI tools
  • Based in Newcastle
  • Cares deeply about the climate and ecosystems of the earth
  • Is a self-starter who thrives in constantly evolving environments, ideally with early-stage experience
Responsibilities
  • Lead and manage continuous improvement projects across the Assessments organisation
  • Collaborate with cross-functional teams, notably technology, product, and commercial to address challenges, develop solutions, and drive strategic projects to completion.
  • Foster a culture of continuous improvement by training and mentoring teams on best practices and problem-solving techniques.
  • Manage a remote team of production operations analysts
  • Assist in the development and implementation of new processes, systems, and tools to support scaling efforts.
  • Contribute to strategic planning and decision-making processes by providing insights and recommendations based on data and analysis.
  • Set up, hire, and run a data extraction function
  • Support in setting up a new hub in Newcastle
  • Provide support across various functions such as operations, product development, and customer experience, depending on business needs.

Sylvera uses lidar scanners to measure biomass in tropical rainforests, having scanned over 16 million trees in Gabon and Peru. The company provides accurate carbon data to organizations and governments, helping them make informed investment decisions in climate action. Unlike competitors, Sylvera does not sell carbon credits or accept payments from developers; it earns revenue by selling access to its proprietary, peer-reviewed carbon data. Its estimates of biomass and carbon storage are up to 13 times more accurate than traditional methods, thanks to advanced machine learning models.

Company Stage

Series B

Total Funding

$101.9M

Headquarters

London, United Kingdom

Founded

2020

Growth & Insights
Headcount

6 month growth

5%

1 year growth

1%

2 year growth

20%
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Simplify's Take

What believers are saying

  • Sylvera's partnerships with entities like ACX and the Singapore government enhance its credibility and market reach.
  • The introduction of tools like the Catalog & Screenings tool demonstrates Sylvera's commitment to innovation and improving carbon project identification.
  • Hiring experienced executives, such as the ex-Dropbox COO, positions Sylvera for strategic growth and operational excellence.

What critics are saying

  • The reliance on advanced technology like lidar scanners and machine learning models may lead to high operational costs.
  • The competitive landscape of the carbon market could pressure Sylvera to continuously innovate to maintain its edge.

What makes Sylvera unique

  • Sylvera's use of lidar scanners and advanced machine learning models provides carbon data that is up to 13 times more accurate than conventional estimates.
  • Unlike many competitors, Sylvera does not sell carbon credits or rate projects for developers, ensuring unbiased and reliable data.
  • Sylvera's proprietary data is peer-reviewed and developed in-house, offering a unique value proposition in the carbon market.

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