Taskrabbit
About Taskrabbit
Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to‑do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. We celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic and fast‑paced. We’re looking for talented, entrepreneurially minded and data‑driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and has been continually ranked among the Best Places to Work (2022, 2023, 2024). This role operates on a hybrid schedule requiring two days of in‑office collaboration per week and can be based in either our San Francisco office or our new New York City office (opening January 2026). About the Role
Taskrabbit is at a pivotal moment in our journey, transforming our data capabilities from a supporting function into a strategic driver of growth and innovation. We’re seeking a visionary and highly accomplished
Senior Director of Data
to lead this critical transformation. This is a unique opportunity to build a best‑in‑class data organization, embed a data‑driven culture and unlock significant business value by leveraging our most valuable asset: data. Reporting directly to the CPO, you will define and execute Taskrabbit’s overarching data strategy, and lead and expand a diverse and talented team encompassing the current teams
Data Science, Data Engineering, Machine Learning Engineering, and Product Analytics , ensuring a cohesive, high‑performing and impactful data ecosystem. Responsibilities
Define and execute data strategy, aligning it with business strategy, OKRs and product vision; advance foundational projects such as implementing our semantic layer and modernising financial data architecture. Partner closely with EDDP leaders and key business stakeholders to identify high‑impact opportunities where data can drive tangible business results, and be accountable for measuring and delivering the commercial impact of data initiatives. Lead and mentor managers and individuals across Data Science, Data Engineering, Machine Learning Engineering, Analytics Engineering and Product Analytics; foster technical excellence, collaboration, innovation and continuous learning; attract, hire and retain top talent. Assess, restructure and optimise team composition, roles and responsibilities to accelerate delivery on strategic data objectives. Implement robust data governance frameworks, including data ownership, quality management processes, standards and policies (e.g. classification, access, retention); drive proactive data quality management. Oversee the strategic development of our data platform and infrastructure (Snowflake, Airflow, dbt, etc.); establish production data model monitoring and simplify redundant systems. Lead the deployment of cutting‑edge data science and machine learning solutions that directly impact product features, marketplace dynamics (pricing, matching) and operational efficiency; establish standardised MLOps practices and a robust experimentation culture. Develop a comprehensive semantic layer and enhance self‑service analytics capabilities, democratise data access and insights and reduce reliance on central data teams. Embed data privacy and compliance (GDPR, CCPA) into all data initiatives; partner closely with Information Security and Legal teams. Collaborate with Product, Engineering, Finance, Commercial, Operations and other stakeholders to embed data into product development cycles and drive data‑informed decision‑making across all functions. Streamline data delivery, model development and experimentation processes to increase agility and accelerate insights. Qualifications
15+ years of experience in machine learning, data science or data engineering with at least 5 years in a leadership capacity. Ability to translate complex data and technical concepts into business insights and actionable recommendations. Exceptional business acumen; MBA or consulting experience preferred. Expert at operating cross‑functionally to drive business results with technical and non‑technical teams. Proven track record of leading large data teams to deliver complex data solutions. Strong understanding of statistical analysis, machine learning algorithms and data manipulation. Strong leadership skills with the ability to mentor, inspire and lead leaders. Excellent written and verbal communication skills; ability to engage and influence stakeholders at all levels. Previous experience in a marketplace or e‑commerce company. Experience leading teams in a hybrid or remote environment. Compensation & Benefits
Base pay range: $245,000 – $300,000 (currency not specified). Compensation includes base pay, bonus, benefits and perks. Final offers may be influenced by experience, qualifications, geography and level. Benefits include employer‑paid health insurance, 401(k) match with immediate vesting for US employees, generous and flexible time off, company‑wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support and more. Benefits vary by country of employment. Diversity, Equity & Inclusion
Taskrabbit is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status or disability status. We provide reasonable accommodation for applicants with physical or mental disabilities and consider qualified applicants with criminal histories consistent with applicable law.
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Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to‑do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. We celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic and fast‑paced. We’re looking for talented, entrepreneurially minded and data‑driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and has been continually ranked among the Best Places to Work (2022, 2023, 2024). This role operates on a hybrid schedule requiring two days of in‑office collaboration per week and can be based in either our San Francisco office or our new New York City office (opening January 2026). About the Role
Taskrabbit is at a pivotal moment in our journey, transforming our data capabilities from a supporting function into a strategic driver of growth and innovation. We’re seeking a visionary and highly accomplished
Senior Director of Data
to lead this critical transformation. This is a unique opportunity to build a best‑in‑class data organization, embed a data‑driven culture and unlock significant business value by leveraging our most valuable asset: data. Reporting directly to the CPO, you will define and execute Taskrabbit’s overarching data strategy, and lead and expand a diverse and talented team encompassing the current teams
Data Science, Data Engineering, Machine Learning Engineering, and Product Analytics , ensuring a cohesive, high‑performing and impactful data ecosystem. Responsibilities
Define and execute data strategy, aligning it with business strategy, OKRs and product vision; advance foundational projects such as implementing our semantic layer and modernising financial data architecture. Partner closely with EDDP leaders and key business stakeholders to identify high‑impact opportunities where data can drive tangible business results, and be accountable for measuring and delivering the commercial impact of data initiatives. Lead and mentor managers and individuals across Data Science, Data Engineering, Machine Learning Engineering, Analytics Engineering and Product Analytics; foster technical excellence, collaboration, innovation and continuous learning; attract, hire and retain top talent. Assess, restructure and optimise team composition, roles and responsibilities to accelerate delivery on strategic data objectives. Implement robust data governance frameworks, including data ownership, quality management processes, standards and policies (e.g. classification, access, retention); drive proactive data quality management. Oversee the strategic development of our data platform and infrastructure (Snowflake, Airflow, dbt, etc.); establish production data model monitoring and simplify redundant systems. Lead the deployment of cutting‑edge data science and machine learning solutions that directly impact product features, marketplace dynamics (pricing, matching) and operational efficiency; establish standardised MLOps practices and a robust experimentation culture. Develop a comprehensive semantic layer and enhance self‑service analytics capabilities, democratise data access and insights and reduce reliance on central data teams. Embed data privacy and compliance (GDPR, CCPA) into all data initiatives; partner closely with Information Security and Legal teams. Collaborate with Product, Engineering, Finance, Commercial, Operations and other stakeholders to embed data into product development cycles and drive data‑informed decision‑making across all functions. Streamline data delivery, model development and experimentation processes to increase agility and accelerate insights. Qualifications
15+ years of experience in machine learning, data science or data engineering with at least 5 years in a leadership capacity. Ability to translate complex data and technical concepts into business insights and actionable recommendations. Exceptional business acumen; MBA or consulting experience preferred. Expert at operating cross‑functionally to drive business results with technical and non‑technical teams. Proven track record of leading large data teams to deliver complex data solutions. Strong understanding of statistical analysis, machine learning algorithms and data manipulation. Strong leadership skills with the ability to mentor, inspire and lead leaders. Excellent written and verbal communication skills; ability to engage and influence stakeholders at all levels. Previous experience in a marketplace or e‑commerce company. Experience leading teams in a hybrid or remote environment. Compensation & Benefits
Base pay range: $245,000 – $300,000 (currency not specified). Compensation includes base pay, bonus, benefits and perks. Final offers may be influenced by experience, qualifications, geography and level. Benefits include employer‑paid health insurance, 401(k) match with immediate vesting for US employees, generous and flexible time off, company‑wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support and more. Benefits vary by country of employment. Diversity, Equity & Inclusion
Taskrabbit is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status or disability status. We provide reasonable accommodation for applicants with physical or mental disabilities and consider qualified applicants with criminal histories consistent with applicable law.
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