In this role, you'll apply strong analytical judgment and product intuition to help us understand customer behaviour, evaluate trade-offs, and make smart investment decisions across the cards and lending lifecycles , from eligibility and activation to spend, retention, incentives, and credit performance. You'll help build a data-informed culture across Mercury so teams can move quickly, measure what matters, and invest intelligently.

Key responsibilities include:

• Bringing impeccable communication and complete ownership , independently identifying opportunities, developing strong points of view, and influencing executives, Cards & Credit leaders, and cross-functional partners through clear, concise, and persuasive storytelling.
• Developing a nuanced understanding of cardholder behaviour and economics, helping teams reason about trade-offs between growth, engagement, risk, and unit economics.
• Defining, owning, and analysing metrics that inform both tactical decisions and long-term strategy across the cards and credit lifecycle (e.g., eligibility, activation, spend, utilisation, rewards, retention, loss signals).
• Designing and evaluating experiments using rigorous statistical approaches, including A/B testing, cohort analysis, causal inference techniques, and trend analysis.
• Building and improving data pipelines and tools to streamline data collection, processing, and analysis workflows, ensuring the integrity, reliability, and security of data assets.
• Building and deploying predictive models to forecast key outcomes, inform product treatments, and deepen understanding of causal drivers.

Requirements include:

• 7+ years of experience working with large datasets to drive product or business impact in data science or analytics roles.
• Fluency in SQL and comfort with Python.
• Strong judgment in defining and analysing product metrics, running experiments, and translating ambiguous questions into structured analyses.
• Exceptional proactivity and independence , identifying opportunities, forming strong points of view, and making your case to stakeholders.
• Experience with ETL processes and modern data modelling (e.g., dbt, dimensional models, Airflow), with a solid understanding of how data is produced and consumed.
• Experience in analytical approaches ranging from behavioural modelling to experimentation to optimisation , and, importantly, know when simpler approaches are the right answer.
• Apply AI tools to accelerate analytical and business workflows, improving scalability, decision quality, and reducing manual or repetitive work across teams.

Nice to have:

• Experience working on cards or credit products, with familiarity in card economics and lifecycle concepts (e.g., spend behaviour, interchange, rewards and incentives, utilisation, credit limits, retention).
• Experience developing quantitative pricing models or engines (e.g., dynamic pricing, incentive optimisation, or marketplace pricing systems).
• Experience applying optimisation techniques to resource allocation or decision systems (e.g., customer operations, capacity planning, or policy optimisation).
• Experience building or supporting credit models, including probability of default modelling, cashflow modelling, or dynamic credit limit setting.

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As a Paid Acquisition Specialist at Cursor, you will be responsible for owning and scaling paid acquisition across various channels, including Google Ads, LinkedIn, Meta, Reddit, YouTube, and emerging developer-focused platforms. Your primary goal will be to build and optimize full-funnel campaigns that drive qualified signups, pipeline, and revenue, not just clicks.

You will develop channel strategy across search, paid social, retargeting, and experimentation budgets, and test ad copy and creative angles tailored to technical audiences. You will also partner closely with creative, content, and product marketing to ship high-performing ad concepts and landing page iterations.

Your responsibilities will include managing campaign structure, keyword strategy, audience segmentation, and bidding to improve CAC and payback. You will own measurement and attribution, with support from ops and engineering: tracking setup, conversion quality, offline conversion imports, and incrementality testing.

You will analyse performance trends and communicate results clearly through dashboards, reporting, and weekly insights. You will run structured experiments to identify new growth levers (new audiences, formats, offers, onboarding flows), and collaborate with sales, lifecycle, and data teams to improve lead quality and conversion rates downstream.

You may be a fit if

We are actively hiring for both senior and junior roles. To be a good fit for this position, you should have proven ability to manage meaningful monthly budgets and scale spend efficiently while maintaining performance.

You should have deep expertise in Google Ads (Search, YouTube, Performance Max) and at least one major paid social platform. You should also have strong understanding of funnel metrics: CAC, LTV, payback period, and conversion rates.

Experience with analytics and attribution tools is also required. You should have highly analytical mindset with comfort in spreadsheets, cohort analysis, and performance modeling. You should be able to move fast, test often, and iterate based on data and user insight.

Benefits

• Competitive salary
• Opportunity to work with a talented team
• Flexible working hours
• Professional development opportunities

How to apply

To apply for this position, please submit your resume, cover letter, and any relevant work samples. We look forward to hearing from you!

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Microsoft are looking for a talented Principal Product Manager - Commerce at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI-native shopping. You'll work directly with leadership to shape the company's direction in the commerce and shopping markets.

About the Role

As a Principal Product Manager - Commerce, you'll be responsible for understanding user and business needs, defining clear requirements, and driving execution across engineering, design, and partner teams. You'll set strategy, align stakeholders, manage delivery through launch and iteration, and ensure outcomes are measurable, high-quality, and scalable. In this role, you will learn how to operate lean teams that obsess over users, make high-quality decisions grounded in evidence, and ship continuously. You'll develop the ability to move quickly from insight to impact, delivering real, immediate value to users. As the AI landscape evolves at an unprecedented pace, you'll gain hands-on experience working at the center of that transformation, building products at the heart of how AI is reshaping the world.

Accountabilities

• Influence others to drive business impact across the organization and track success criteria for multiple feature areas across divisions.
• Identify long-term investment opportunities and engage partners to garner support for those feature areas.
• Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams.

The Candidate we're looking for

Experience:

• 8+ years experience in product/service/program management or software development.

Technical skills:

• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript).

Personal attributes:

• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Benefits

• Product Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 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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Microsoft are looking for a talented Machine Learning Software Engineer at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations.

Accountabilities

• Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
• Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.

The Candidate we're looking for

Experience:

• 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.

Technical skills:

• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.

Personal attributes:

• Demonstrated interest in Responsible AI.

Benefits

• Competitive salary range of USD $139,900 – $274,800 per year.
• Benefits and other compensation.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Recognition and rewards for outstanding performance.

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Microsoft are looking for a talented Machine Learning Software Engineer at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising artificial intelligence technology. You'll work directly with leadership to shape the company's direction in the technology and simulation markets.

About the Role

As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations.

Accountabilities

• Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
• Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.

The Candidate we're looking for

Experience:

• 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.

Technical skills:

• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
• Demonstrated interest in Responsible AI.

Personal attributes:

• Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.

Benefits

• Competitive salary range of USD $139,900 – $274,800 per year.
• Benefits and other compensation.
• Opportunities for professional development and growth within the company.

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