Data Recruiter

About Stripe

Stripe is a technology company that builds economic infrastructure for the internet. Businesses of all sizes—from new startups to public companies like Amazon and Salesforce—use our software to accept online payments and run technically sophisticated financial operations in more than 100 countries. By helping businesses accept payments from anywhere in the world and accelerating the economic shift from offline to online, we aim to increase the GDP of the internet.

The Role: Data Recruiter

To further this important mission, Stripe is looking for a driven and collaborative Data Recruiter to grow and scale our global Data organization. You can expect high impact and wide-ranging responsibility: owning full-cycle recruiting on niche data searches, contributing to our geo strategy with talent market insights, and delivering best-in-class candidate experience. This person must be a builder who thrives in a learning environment—unafraid to try new things, embrace new ideas, navigate ambiguity, and welcome suggestions for how we can iterate on our processes.

Responsibilities

• Partner with senior leaders across the Data organization to understand hiring objectives and develop recruiting strategies to identify top talent across data science and data analyst profiles.
• Help initiate creative and scalable changes to our existing recruiting processes.
• Track and analyze metrics and report on hiring progress to Data leadership on a regular cadence.
• Focus on creating strategic plans to attract and engage talent across different geos.
• Work closely with cross-functional teams like Finance, People Ops, Benefits, Onboarding and Legal to deliver a high-quality and holistic candidate experience.

Minimum Requirements

• 4+ years of full-cycle technical recruiting experience in a fast-paced, high-growth environment, including in-house experience.
• Experience building high performing teams and delivering an exceptional candidate experience.
• A growth mindset and truly flexible. You can shift tasks and priorities when circumstances change (at a fast-growing startup, they often do).
• An active and data-driven approach to problem solving; you enjoy making sense of the trends and using the insights to better your process to make it more efficient.
• Proven abilities to attract passive senior candidates and build a diverse pipelines across different hiring locations.
• Strong operational rigor with the ability to stay organized amidst change.
• Excellent verbal and written communication skills, with an appropriate blend of professionalism and friendliness.

Hybrid Work at Stripe

This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.

Pay and Benefits

The annual US base salary range for this role is $104,000 - $156,000. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Key skills/competency

• Full-cycle recruiting
• Technical recruiting
• Data organization hiring
• Talent acquisition strategy
• Candidate experience
• Data science profiles
• Data analyst profiles
• Passive candidate sourcing
• Market insights
• Cross-functional collaboration