About AgreenaAgreena is an exciting, dynamic, and purpose-oriented organisation united in a mission to mobilise farmers and corporations to unlock the value of nature and help restore the planet. While we’re rooted in agriculture, finance, and technology, our team of experts range from soil carbon scientists and software developers to market strategists and regulatory affairs experts. Over 230 employees across more than 40 nationalities are gathered under the common Agreena flag – either working from our headquarters in Copenhagen, offices in London, or remotely across Europe.As a rapidly scaling climate agtech, Agreena provides solutions that drive both environmental and financial sustainability in farming. We have helped farmers across 20 countries in their journey from conventional agriculture to regenerative farming practices to reduce greenhouse gas emissions and remove CO2 from the atmosphere, storing it in soil. Our company offers a supportive and positive work environment with opportunities for learning, leading and growth no matter where you are in your professional journey. We believe in giving our employees a lot of responsibility, and we encourage new thinking, innovation and fun.And This Is Where You Come InAs a Senior Product Manager - Data and ML, you will lead the development and execution of our data-driven products, leveraging machine learning to create impactful business outcomes in the area of remote sensing that will be applied across several product areas. We are building several layers of Data products, to enable further understanding of agricultural practices and soil health. You will collaborate closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to define the product strategy, prioritise initiatives, and drive the successful launch of innovative solutions across Agreena.How Will You Make An Impact - Product Strategy & Vision:
- Define and drive the product strategy and roadmap for data products and ML-driven solutions.
- Identify key market trends, customer needs, and competitive opportunities to shape long-term strategic objectives.
- Articulate the vision for AI/ML products that address key business challenges and drive measurable outcomes.
- Collaboration & Stakeholder Management:
- Partner with data scientists, engineers, and analysts to define product requirements, user stories, and technical specifications.
- Collaborate with business teams, including application product managers, marketing, sales, and customer support, to align product development with organisational goals.
- Engage with customers and internal stakeholders to gather feedback and ensure the product meets their needs.
- Product Development & Execution:
- Own the end-to-end lifecycle of data and ML products, from concept to launch, ensuring timely delivery and quality.
- Define key performance metrics for the success of each product and regularly track, analyse, and optimise product performance.
- Work closely with data and ML teams to translate complex technical capabilities into simple, impactful product features.
- Market Research & Competitive Analysis:
- Conduct market research to understand emerging trends in AI, machine learning, and data analytics.
- Stay up to date with the latest industry advancements and competitor offerings, ensuring our solutions remain best-in-class.
- Analyse customer feedback and product usage to inform future enhancements and innovations.
Who We’re Looking For - Experience:
- 5-7+ years of experience in product management, with at least 2-3 years focused on data products and machine learning, preferably deep domain data and ML products.
- Proven experience managing complex products with AI/ML components, from ideation to launch.
- Good understanding of data pipelines, machine learning frameworks, and cloud-based infrastructure (AWS, Azure, etc.).
- Skills:
- Deep knowledge of AI/ML concepts and how they can be applied to solve real-world business problems.
- Ability to define technical product requirements and collaborate with engineering/data science teams on execution.
- Excellent communication and presentation skills, with the ability to simplify complex ideas for non-technical stakeholders.
- Strong analytical mindset with a data-driven approach to decision-making.
- Education:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. An MBA or advanced degree is a plus.
Bonus Points If - Familiarity with building deep domain based Data and ML products.
- Familiarity with understanding machine learning model performance.
- Experience in building B2B or enterprise data products.
- Experience working in agile development environments, with a solid understanding of Agile methodologies.
What’s In It For You - A unique opportunity to join and help shape a fast-growing tech scale up with the determination and ambitious mission to reverse climate change
- A truly global environment where you can collaborate and socialise with diverse and passionate colleagues
- Competitive compensation package and holidays
- Centrally located modern office in Copenhagen, London and the option to work from home a couple days a week or a Remote Work Policy, depending on your location
- Team events throughout the year
- An exciting purpose-led culture and mission
- Open communication and supportive feedback culture.
🌱 Not quite what you're looking for?Stay connected with us by following our Agreena LinkedIn page. It's the best way to stay updated on our latest content, articles, and exciting new opportunities.Plus, if you want to be the first to know about job openings in the departments you're interested in, you can subscribe to our job alerts talent pool.🌍 Be your best self every day at AgreenaAt Agreena, we are devoted to building an environment that promotes equality, inclusion, and diversity. As we embark on our journey of expansion and growth, we recognise the value of celebrating and embracing everyone's uniqueness. This diversity is crucial to our success and innovation. We aspire to build a product that is loved by our customers and we want the same to be reflected in our teams.With this in mind, we're dedicated to ensuring that Agreena remains a welcoming and diverse environment for all.
