Key Responsibilities:

• Lead and manage the team that partners with Sales (Growth and Retention) to define market-winning strategies that align with Komodo's overarching business objectives.

• Lead and manage the team that acts as technical diplomats to C-suite stakeholders, translating business hurdles into actionable solutions using Komodo's suite of products and Healthcare Map.

• Lead and manage the team that oversees the creation of customer-specific technical solutions that address requirements and long-term goals.

• Collaborate with Product, Sales, Marketing, and other teams to craft and deliver compelling value propositions and demonstrations.

• Lead and manage the team that provides thought leadership on the application of analytics and healthcare data to drive measurable customer success.

Requirements:

• 15+ years of professional experience with a significant focus on high-growth SaaS, analytics, or AI environments.

• 8+ years of leadership experience, specifically having scaled a presales and/or technical consulting organization, ideally from an earlier stage to a multi-layered enterprise team.

• Strategic Breadth: Proven ability to influence internal product direction and external customer strategy simultaneously.

• Domain Knowledge: Experience navigating the Life Sciences and/or Healthcare space.

• Technical Literacy: Awareness of data science tools, cloud technologies, and AL/ML applications.

Expectations of AI Use in this role:

• Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas.

• Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster.

• Applies both judgment and creativity when working with AI and understands its limitations.

• Educates and enables others in the proper use of AI in the pre-sales domain.

• Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role.

• Has developed or shared AI-enhanced workflows, automations, or prompts with others.

• Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work.

• Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design.

• Regularly leverages AI tools such as Gemini, Cursor, Perplexity, Claude, ChatGPT, or Microsoft Copilot to improve speed, clarity, or creative output.

This position may be eligible for performance-based bonuses as determined in the Company's sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

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As a Director of Mineral Processing, you will contribute to and lead the development and execution of mineral processing strategy across KoBold's portfolio, with an initial focus on the Mingomba copper project in Zambia. You will be responsible for all aspects of process engineering from early-stage metallurgical testwork through feasibility study design and operational readiness.

Key Responsibilities:

• Own the process flowsheet design for Mingomba and future KoBold projects, from scoping through feasibility.

• Work hands-on and with your team to define and manage metallurgical testwork programs: comminution characterization, flotation optimization, hydrometallurgical evaluation, and pilot-scale campaigns.

• Evaluate and recommend processing routes including froth flotation to concentrate, SX-EW, pressure oxidation, and smelter/refinery toll arrangements. Quantify the economic trade-offs of each.

• Develop process design criteria, mass and water balances, and equipment specifications for feasibility-level engineering.

• Lead the assessment of tailings characteristics, reprocessing potential, and environmental implications of process residues.

• Build and maintain a geometallurgical framework that links ore variability (mineralogy, texture, grade distribution) to processing performance with first principles and statistical models.

• Collaborate with geologists and data scientists to integrate geometallurgical statistics into resource models, mine schedules, and economic analyses.

• Define sampling protocols for metallurgical characterization of drill core and ensure adequate coverage of ore variability.

• Ensure mineral processing assumptions are reflected in techno-economic models including TC/RC structures, payable metal calculations, and concentrate penalty elements.

• Build, lead, and mentor a mineral processing function within KoBold's Advanced Technology Group.

• Direct and manage relationships with metallurgical consultants, contract laboratories, and engineering firms.

• Serve as one of KoBold's internal experts and external representatives on mineral processing for investor presentations, partner discussions, and technical reviews.

• Contribute to feasibility study management and preparation of technical reports (NI 43-101 / JORC-compliant as applicable).

• Identify and evaluate emerging processing technologies relevant to KoBold's target commodities (copper, lithium, nickel, cobalt) along with the existing team.

• Work with mine engineers to optimize cut-off grade strategies and ore scheduling based on processing constraints.

• Partner with KoBold's data science team to apply machine learning and statistical methods to metallurgical datasets.

• Coordinate with business development and commercial teams on offtake strategy, concentrate marketing, and smelter negotiations.

• Support environmental and permitting workstreams with process-related inputs on water use, reagent consumption, emissions, and waste management.

Qualifications:

• 15+ years of experience with large-scale (ton-kton/day) chemical processes.
• Quantitative, statistical, and scientific rigor, including execution of experimental designs to optimize multistage processing of complex feedstocks.
• Experience with design/build from lab test work through large-scale production.
• Track record of managing consultants, laboratories, and multidisciplinary technical teams.
• Strong technical writing skills, including preparation of technical reports.
• Willingness to travel to project sites in Zambia and other KoBold locations (estimated 20–30%).

Preferred Qualifications:

• Experience in mineral processing, with significant time spent on copper sulfide projects from testwork through to operating plant design or commissioning.
• Direct experience leading metallurgical testwork programs and translating results into process design criteria and flowsheet selection.
• Deep understanding of comminution, flotation, hydrometallurgy, and concentrate handling for base metals.
• Experience contributing to pre-feasibility and/or feasibility studies as the responsible mineral processing engineer.
• Experience with sediment-hosted copper deposits (Zambian Copperbelt or Central African Copperbelt geology).
• Familiarity with lithium processing (spodumene flotation, acid roast, DLE) and/or nickel laterite processing.
• Experience with geometallurgical modeling and integration into block models.
• Exposure to SX-EW operations and direct copper cathode production.
• Comfort beyond spreadsheets in working with data science tools (Python, SQL) for scientific analysis.

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Responsibilities:

• Work with our data science team to find and interpret signals in our data that illuminate emerging trends, new categories, and structural shifts in the global economy.
• Scour publicly available macroeconomic data to weave into stories about trends we're seeing on Stripe.
• Own data stories end-to-end – from forming the hypothesis, to exploring and analyzing data, to shaping the narrative, visualization, and final content, all partnering closely with our head of economic research.
• Turn complex datasets into clear, elegant visualizations that make ideas legible and persuasive.
• Publish original data-driven editorial, and help ensure the strongest ideas travel – through social, press, partnerships, and speaking platforms.
• Run Stripe Economics, and launch other new editorial channels (e.g. Substack, Twitter) to disseminate data stories and build online communities around them.
• Work closely with the Economics, Data Science, and Policy teams at Stripe to refine questions, validate findings, and uphold a high bar for rigor.
• Collaborate with external researchers, academics, and journalists to extend the reach and impact of Stripe's economic insights.

You're highly entrepreneurial, enjoying devising and launching new ideas, and relentlessly improving what we already do. You have a knack for turning raw data into a clear insight, a memorable chart, and a story people want to read. You bring taste, curiosity, and a strong editorial point of view, alongside the technical ability to work with data. You have a journalist's instincts – drawn to early signals, skeptical of easy narratives, and motivated by explaining not just what is happening, but why it matters. You care about craft, write well, and enjoy working across disciplines to turn complex systems into clear, rigorous stories.

Minimum requirements:

• Experience working with large datasets and producing accurate, public-facing analysis.
• 5 years of experience publishing original work (e.g. running a Substack/newsletter, or writing within a newsroom or media organization).
• Exceptional writer across short and long formats.

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What to expect on your journey with us:

• A solid and innovative company with a strong market presence
• A dynamic, diverse, and multicultural work environment
• Leaders with deep market knowledge and strategic vision
• Continuous learning and development

Objective: Designs and develops Data/Domain IT architecture (integrated process, applications, data and technology) solutions to business problems in alignment with the Enterprise Architecture direction and standards.

Key Responsibilities:

• Utilizes in-depth conceptual and practical knowledge in Domain Architecture and basic knowledge of related job disciplines to perform complex technical planning, architecture development and modification of specifications for Domain solution delivery.
• Solves complex problems and partners effectively to execute broad, continuous Domain level architecture improvement roadmaps that impacts the organization.
• Works independently, receives minimal guidance and direction to solve for and influence Enterprise and System architecture through Domain level knowledge.
• Reviews high level design to ensure alignment to Solution Architecture.
• May lead projects or project steps within a broader project or may have accountability for on-going activities or objectives.
• Mentor developers and create reference implementations/frameworks.
• Partners with System Architects to elaborate capabilities and features.
• Delivers single domain architecture solutions and executes continuous domain level architecture improvement roadmap. Actively supports design and steering of a continuous delivery pipeline.

Requirements:

• Over 6 years of experience as a senior domain architect for Data domains
• Advanced English Level
• Masters' degree (PLUS)
• Insurance Experience (PLUS) Financial Services (PLUS)

Technical & Business Skills:

• ETL/ELT Tools (Informatica, DBT) - Advanced (7+ Years)
• Data Architecture / Data Modeling – Advanced (MUST)
• Data Warehouse – Advanced (MUST)
• Cloud Data Platforms - Advanced
• Data Integration Tools – Advanced
• Snowflake or Databricks - Intermediate (4-6 Years) MUST
• Any Cloud - Intermediate (4-6 Years)
• Power BI or Tableau - Intermediate (4-6 Years)
• Data Science tools (Sagemaker, Databricks) - Intermediate (4-6 Years)
• Data Lakehouse – Intermediate (MUST)

• Data Governance - Intermediate
• AI/ML - Entry Level (PLUS)
• Master Data Management - Intermediate
• Operational Data Management - Intermediate

Benefits:

This position comes with a competitive compensation and benefits package.

• A competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Flexible work arrangements (remote and/or office-based).
• You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
• Private Health Insurance.
• Paid Time Off.
• Training & Development opportunities in partnership with renowned companies.

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We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

Objective: Designs and develops Data/Domain IT architecture (integrated process, applications, data and technology) solutions to business problems in alignment with the Enterprise Architecture direction and standards.

**Key Responsibilities:*

• Utilizes in-depth conceptual and practical knowledge in Domain Architecture and basic knowledge of related job disciplines to perform complex technical planning, architecture development and modification of specifications for Domain solution delivery.

• Solves complex problems and partners effectively to execute broad, continuous Domain level architecture improvement roadmaps that impacts the organization.

• Works independently, receives minimal guidance and direction to solve for and influence Enterprise and System architecture through Domain level knowledge.

• Reviews high level design to ensure alignment to Solution Architecture.

• May lead projects or project steps within a broader project or may have accountability for on-going activities or objectives.

• Mentor developers and create reference implementations/frameworks.

• Partners with System Architects to elaborate capabilities and features.

• Delivers single domain architecture solutions and executes continuous domain level architecture improvement roadmap. Actively supports design and steering of a continuous delivery pipeline.

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What to expect on your journey with us:

• A solid and innovative company with a strong market presence
• A dynamic, diverse, and multicultural work environment
• Leaders with deep market knowledge and strategic vision
• Continuous learning and development

Key Responsibilities:

• Utilize in-depth conceptual and practical knowledge in Domain Architecture and basic knowledge of related job disciplines to perform complex technical planning, architecture development and modification of specifications for Domain solution delivery
• Solve complex problems and partner effectively to execute broad, continuous Domain level architecture improvement roadmaps that impacts the organization
• Work independently, receives minimal guidance and direction to solve for and influence Enterprise and System architecture through Domain level knowledge
• Review high level design to ensure alignment to Solution Architecture
• May lead projects or project steps within a broader project or may have accountability for on-going activities or objectives
• Mentor developers and create reference implementations/frameworks
• Partner with System Architects to elaborate capabilities and features
• Deliver single domain architecture solutions and execute continuous domain level architecture improvement roadmap. Actively supports design and steering of a continuous delivery pipeline

Requirements:

• Over 6 years of experience as a senior domain architect for Data domains
• Advanced English Level
• Masters' degree (PLUS)
• Insurance Experience (PLUS) Financial Services (PLUS)

Technical & Business Skills:

• ETL/ELT Tools (Informatica, DBT) - Advanced (7+ Years)
• Data Architecture / Data Modeling – Advanced (MUST)
• Data Warehouse – Advanced (MUST)
• Cloud Data Platforms - Advanced
• Data Integration Tools – Advanced
• Snowflake or Databricks - Intermediate (4-6 Years) MUST
• Any Cloud - Intermediate (4-6 Years)
• Power BI or Tableau - Intermediate (4-6 Years)
• Data Science tools (Sagemaker, Databricks) - Intermediate (4-6 Years)
• Data Lakehouse – Intermediate (MUST)

Benefits:

• A competitive salary and performance-based bonuses
• Comprehensive benefits package
• Flexible work arrangements (remote and/or office-based)
• Private Health Insurance
• Paid Time Off
• Training & Development opportunities in partnership with renowned companies

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Our services include data platform implementation, data governance, data analytics, and more. We work with brands to help them become omnicanal organisations that can effectively manage their digital ecosystem and its synergies with the physical world.

We are based in Paris and operate across three time zones from our 10 offices in Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore and New York. We prioritise the well-being of our employees, which has enabled us to be ranked as one of the best workplaces in France in 2018.

We are looking for a Data & Cloud Technical Project Manager to join our team. The successful candidate will be responsible for managing technical projects and teams, ensuring the successful delivery of projects within agreed timelines and budgets.

Key responsibilities:

• Manage technical projects and teams, ensuring the successful delivery of projects within agreed timelines and budgets
• Lead technical teams and ensure the development of technical skills and expertise
• Collaborate with data science teams to develop advanced use cases for clients
• Develop and implement data governance frameworks for clients
• Ensure the quality and accuracy of data and analytics
• Collaborate with clients to understand their needs and develop solutions
• Manage client relationships and ensure client satisfaction

Requirements:

• 6-8 years of experience in a technical consulting role
• Experience in managing technical projects and teams
• Strong technical skills, including data analytics, data governance and cloud computing
• Excellent communication and presentation skills
• Ability to work in a fast-paced environment and manage multiple projects simultaneously
• Strong problem-solving skills and ability to think critically
• Experience working with clients and developing solutions to meet their needs

Preferred qualifications:

• Experience working with data platforms and data governance frameworks
• Experience working with cloud computing platforms, including Google Cloud, Amazon Web Services and Microsoft Azure
• Experience working with data analytics tools, including Google Data Studio and Tableau
• Experience working with data science tools, including Python and R
• Experience working with machine learning algorithms and models

We offer a competitive salary and benefits package, including a comprehensive health insurance plan, a 401(k) matching program and a generous paid time off policy. We also offer a dynamic and supportive work environment, with opportunities for professional growth and development.

If you are a motivated and experienced technical professional looking for a new challenge, we encourage you to apply for this exciting opportunity.

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As a Principal Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.
• Work with a security-first mindset, focusing on system scalability and maintainability.
• Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 6+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.
• Familiarity with Azure.
• Experience with machine learning and data science tools and frameworks.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

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Responsibilities

Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.

Develop and optimize data models to support data analytics.

Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.

Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.

Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.

Work with a security-first mindset, focusing on system scalability and maintainability.

Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

6+ years of experience in software engineering, with a focus on data engineering and data analytics.

Solid experience with data processing frameworks such as Apache Spark, Hadoop.

Expertise in SQL and experience with RDBMS, Key Value stores.

Familiarity with cloud platforms and data services.

Excellent problem-solving skills and the ability to work independently and as part of a team.

Solid communication skills.

Familiarity with Azure.

Experience with machine learning and data science tools and frameworks.

Knowledge of data visualization tools (e.g., Tableau, Power BI).

Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

#MicrosoftAI Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.
• Work with a security-first mindset, focusing on system scalability and maintainability.
• Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• 6+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.
• Familiarity with Azure.
• Experience with machine learning and data science tools and frameworks.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 8+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.
• Familiarity with Azure.
• Experience with machine learning and data science tools and frameworks.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

Salary Range:

• The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Benefits:

• Microsoft is an equal opportunity employer.
• All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
• If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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