Manager, People Analytics

Remote

Full Time

Posted July 17, 2026

$2k - $2k

Remote

~16 people viewed this recently

Application opens on company website

The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering.

Multi-Disciplinary Leadership: Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers. You aren't just managing analysts; you are leading a product squad.
Product Ownership on People Science: Bridge the gap between "HR-speak" and "Dev-speak", ensuring engineers understand the human behavioral intent behind the code.
Strategic Insight & Business Outcomes: Move beyond descriptive metrics (e.g., turnover rate) to predictive and prescriptive insights (e.g., predicting attrition risk based on "Time-Product" engagement data).
Data Stewardship & Product Storytelling: Act as the "Translator-in-Chief". Take complex data models and turn them into compelling narratives. Lead the development of AI Agents that can surface insights to managers in real-time. Ensure the "People Data Stack" is secure, GDPR/privacy-compliant, and acts as a "Single Source of Truth" across all People related offerings, products and services.
“Effectiveness at Work” Strategy: Identify opportunities to leverage “High Tech” solutions in our People offerings, and free up more time for “High Touch”, human involvement, thereby maximizing human value.

Background in data science, mathematics, or engineering, skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering.
Strength in coding/scripting languages (Python, R, JavaScript, etc.), software engineering, visualization (e.g. Superset, Tableau), and automation.
Ability to translate business questions to key research objectives.
Ability to identify the best methodology to execute research, synthesize and analyze findings.
Proven ability to lead and drive others to execute against well planned roadmaps, with a strong mentor/coaching mindset.
Willingness to examine the status quo and be resilient in the face of challenges.
Ambition to build tomorrow's AI/Data stack in open source.
An exceptional academic track record from high school and university.
Business level written and spoken English.
Sincere personal motivation aligned with our mission.
International travel 2-4 times a year for company events up to two weeks long.
In addition we expect that you will match our values, by being:
Precise, taking care to deliver correctness and clarity.
Reliable, delivering high quality work that builds trust and confidence.
Accessible, collaborating to build products and systems that are usable.
Adroit, blending enthusiasm, knowledge, adaptability, style and character.

We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Bi-annual compensation review
Company recognition rewards
40 days annual leave per annum, including public holidays and our All Company holiday periods
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access