This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our New York City office (opening March 2026).

About the Team: 

The Revenue Optimization team sits within the Marketplace Operations team and operates as analyst-owners across several aspects of the business. We use deep analysis, data-driven experimentation, and deployment of pricing and supply levers to help Taskrabbit hit its financial targets. We develop and operationalize scalable solutions to optimize outcomes at the mid and bottom parts of our business funnel. 

About the Role

The Senior Business Operations Analyst will lead the end-to-end implementation and optimization of Taskrabbit’s automated enforcement tool, bridging the gap between company policy and technical execution. This role is essential for maintaining marketplace quality and driving revenue growth by spearheading gray market reduction initiatives. You will be responsible for activating policy enforcement mechanisms and providing the analytical rigor necessary to track performance, mitigate leakage, and ensure scalable business operations.

Join us in transforming lives, one task at a time.

What You’ll Work On:

• Lead the technical implementation of policies within the Business Rules Engine (BRE), ensuring that high-level business requirements are accurately translated into automated logic to recommence and maintain consistent policy enforcement.
• Own the analysis and tracking of policy enforcement, developing the frameworks and dashboards necessary to monitor system efficacy and the impact of enforcement on the marketplace.
• Drive direct revenue growth by identifying, analyzing, and reducing off-platform transactions through rigorous data analysis and the design of targeted operational tests.
• Design and execute experimental frameworks to test new marketplace rules, measuring their impact on user behavior and platform health before full-scale rollout.
• Collaborate cross-functionally with Product, Engineering, and Operations teams to ensure the BRE evolves in alignment with product roadmaps and regulatory requirements.
• Operationalize marketplace integrity by mapping complex policy workflows, identifying gaps in enforcement, and implementing creative solutions to automate or optimize key business rules.
• Define and monitor KPIs related to policy compliance and revenue leakage, providing actionable insights to leadership that inform broader business strategy.
• Serve as the primary stakeholder for BRE health, ensuring that business logic remains current and effective, preventing the need for manual resource diversion from other departments.

You Should Have:

• A BS/MS in economics, mathematics, statistics, or equivalent analytical experience
• 2-4 years using analytics to drive key business decisions across strategy, marketing, operations, and/or finance
• Experience building data visualizations to inform business decisions (e.g., Looker, PowerBI, Tableau, Sigma, etc.)
• Excellent verbal, presentation, and written communication skills
• Experience with SQL and large volumes of data 
• Great attention to detail and quality
• Experience translating technical topics to non-technical audiences
• A knack for working with cross-functional partners to reach the right solutions 
• An ownership mindset determined to get things done
• A willingness to learn how true two-sided marketplaces function

Nice to Have: 

• Experience with Python
• Experience presenting to C-level executives
• Experience gathering, distilling, and providing requirements to technical engineering and data teams
• Proficient in statistical techniques and concepts (regression, power analysis, clustering, etc.)
• Technical understanding of data warehousing/data pipelining solutions
• Experience with a marketplace business model and a global brand
• Love collaborating together with a tight-knit team

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $105,000 - $140,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

This is a hybrid role that will sit out of our San Francisco office. Hybrid in-office Tuesdays and Wednesdays of each week. 

About the Role

We are looking for a builder to help lead our ‘AI for Work’ efforts. Together with the Director of AI Strategy and Enablement, you will build the internal AI infrastructure that makes our teams more efficient. That means building, evaluating vendors, and continuously evolving the AI systems our teams run on with the goal of maximizing every person's efficiency and scaling our ability to deploy agents across the business. You will embed directly within business functions across the organization, deeply understand how teams operate today, and fundamentally reimagine how they should operate tomorrow. This is not about bolting automation onto existing processes; it's about redesigning how work gets done with agentic tooling transforming (and eliminating) workflows. You will partner with leaders across the business to surface high-impact opportunities, architect intelligent solutions, and deliver measurable gains in productivity, output quality, and the experiences we deliver to our employees. You will define what "AI-native operations" looks like inside Taskrabbit. 

As the AI Productivity and Business Automation Lead, you will also own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Taskrabbit. You’ll work closely with the Director of AI Strategy and Enablement and functional leads to map high-value process bottlenecks and identify AI solutions. You’ll also help create structured experiments and pilot programs that demonstrate measurable business impact. In addition, you’ll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our AI Strategic Plan. 

You will be responsible for "mining" the business for efficiency opportunities while simultaneously helping to build the centralized orchestration layer that ensures our enterprise AI spend is governed, consistent, and scalable. This is a high-impact IC role designed for a "scrappy builder" who thrives on turning internal complexity into streamlined, automated excellence. 

What You Will Do: 

• Partner multiple functional leaders to define new standards for how teams operate in an AI-augmented environment. Reporting to the Director of AI Strategy and Enablement, you will establish the "AI-first" baseline for daily execution, ensuring that ways of working are clearly defined and consistent across all non-engineering functions. 
• Conduct structured discovery, shadowing teams, interviewing stakeholders, and mapping end-to-end processes, to identify where AI can eliminate, redesign, or dramatically accelerate work 
• Embed within internal business functions to develop a deep, firsthand understanding of current workflows, pain points, and decision-making processes to map high-value process bottlenecks. 
• Reimagine workflows from first principles rather than automating existing steps; challenge assumptions about what requires human involvement and what doesn't
• Design, build, and deploy AI-powered automations, agents, and internal tools that reduce time spent on repetitive, low-value-add tasks while improving the quality and consistency of outputs 
• Integrate large language models, agentic frameworks, and automation platforms into internal workflows with appropriate guardrails, error handling, and human-in-the-loop checkpoints
• Measure everything: establish baselines before intervention, track adoption and usage patterns post-deployment, and quantify productivity impact in terms of hours saved, error rates reduced, and cycle times compressed 
• Serve as a trusted advisor to functional leaders on what AI can and cannot do for their teams; translate business problems into technical solutions and technical constraints into business language 
• Stay abreast of the rapidly evolving AI tooling landscape (e.g., LLM capabilities, orchestration frameworks, RPA-to-AI convergence, no-code/low-code platforms) and calibrate our internal stack accordingly 
• Build reusable patterns, templates, and playbooks so that successful automations in one function can be adapted and scaled across others 
• Collaborate closely with the engineering and product organizations to ensure internal automation efforts align with our broader technology strategy and do not create shadow IT risk 
• Help to define the framework for evaluating the success and health of our workforce transformation. You will determine the key signals that demonstrate progress, partnering with Finance and Data Science to ensure that operational shifts deliver validated value to Taskrabbit. 
• You will focus on moving beyond tool adoption to fundamental change, ensuring our teams are positioned to focus on high-value, high-judgment work that drives enterprise performance. 
• Beyond individual projects, you will focus on helping to build the mindset and capability for teams to lead their own evolution. You will create the models that allow the organization to stay agile, ensuring the workforce can continuously adapt as technology and market conditions change. 

Skills Required: 

• Educational Foundation: You hold a Bachelor’s degree in Computer Science or a comparable technical field, with demonstrated interest in Business Analytics, Finance, Data Science, applied AI, or related disciplines. 
• Experience: You bring 5+ years of professional experience, including 1–2 years of direct, relevant experience in AI, data, or analytics-driven roles. 
• GenAI Fluency: You have hands-on experience with generative AI tools (e.g., Gemini, ChatGPT, Claude) through professional, academic, or personal projects, with a strong understanding of concepts such as state management and prompt versioning. 
• AI & ML Knowledge: You possess a solid understanding of AI technologies and machine learning concepts, and can apply them effectively in business contexts.
• Analytical Thinking: You demonstrate a strong analytical mindset, with the ability to design experiments, interpret metrics, and distinguish meaningful signals from noise.
• Communication Skills: You communicate clearly and concisely, translating complex technical insights into actionable recommendations for non-technical stakeholders.
• Ownership & Drive: You exhibit curiosity, a bias for action, and a strong sense of ownership in fast-moving, ambiguous environments. 
• Hands-on Builder Mindset: You are a scrappy, execution-oriented builder who can take ideas from stakeholders and independently develop working agentic workflows without relying on external engineering resources. 
• Business Acumen: You translate complex AI capabilities into clear business value, articulating ROI and impact for diverse stakeholders. 
• Operational Excellence: You bring rigor to operations, including managing vendor relationships, forecasting technical costs (e.g., token usage), and maintaining system reliability and SLAs. 
• Strategic AI Perspective: You stay current with rapid advancements in AI (e.g., LLMs, agents), proactively identifying implications for business and workforce transformation. You effectively bridge the gap between what is technically possible and what is practically scalable. 
• Leadership & Influence: You are a self-starter who thrives in ambiguity and can lead high-stakes discussions with senior leaders, using structured thinking and compelling storytelling to drive alignment and change. 
• Impact Orientation: You are deeply data-driven, partnering effectively with Finance and Data Science to define success metrics and ensure initiatives deliver measurable productivity gains and business impact. 
• Continuous Learning: You demonstrate strong intellectual curiosity and a commitment to continuous learning, staying ahead of emerging technologies to ensure long-term organizational readiness.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $192,000 - $250,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

This role operates on a hybrid schedule requiring two days of in-office collaboration per week. Every Tuesday & Wednesday in our brand new San Francisco office. 

About The Role

We are seeking a highly motivated and experienced Revenue Accounting Manager to join our growing Finance team. This critical role will be responsible for overseeing the entire revenue recognition cycle, ensuring compliance with relevant accounting standards (ASC 606), and leading key process improvements and system implementations related to revenue operations. The ideal candidate will possess deep technical expertise in revenue accounting, strong leadership skills, and a proven ability to drive efficiency and accuracy in a fast-paced environment.

This is a highly visible role with the opportunity to work cross-functionally with an experienced and dynamic leadership team.

Responsibilities:

Leadership & Management

• Lead the daily operations of the Revenue Accounting function, including month-end, quarter-end, and year-end close activities for all revenue-related accounts.
• Mentor and develop junior staff, providing guidance on complex revenue recognition issues and best practices.
• Collaborate extensively with Product, Data, Operations, and Financial Planning & Analysis (FP&A) teams to ensure accurate revenue reporting and proper revenue forecasting.
• Serve as the subject matter expert for all technical revenue accounting matters, providing internal and external audit support.

Technical Revenue Accounting & Compliance

• Manage the end-to-end revenue process from contract review to billing, collection, and reconciliation, ensuring compliance with ASC 606.
• Analyze partnership customer contracts to determine appropriate revenue recognition treatment, including identifying performance obligations, transaction price, and allocation.
• Prepare and review critical revenue journal entries, reconciliations, and supporting documentation for deferred revenue, unbilled receivables, and accounts receivable.
• Maintain and update the company's revenue accounting policies and procedures documentation.
• Oversee the calculation of commissions.

Process & System Improvement

• Identify and implement process improvements to enhance the efficiency, accuracy, and scalability of the revenue close process.
• Lead or actively participate in the implementation and optimization of revenue recognition modules within the ERP system (e.g., SAP, Oracle, NetSuite) or specialized revenue management software.
• Develop and maintain key revenue reporting metrics and dashboards for management review.

Qualifications:

Required

• Education: Bachelor's degree in Accounting, Finance, or a related field.
• Experience: 6+ years of progressive experience in accounting, with at least 4+ years focused specifically on technical revenue recognition gained in a marketplace, platform, FinTech or SaaS revenue environment.
• Technical Expertise: Deep, practical working knowledge of ASC 606.
• Systems Proficiency: Experience with Netsuite, Advanced Microsoft Excel skills or Google Sheets and experience reconciling large sets of data.

Desired Skills

• Exceptional written and verbal communication skills, with the ability to articulate complex accounting issues clearly.
• Proven ability to lead projects and drive cross-functional collaboration.
• Strong organizational skills and attention to detail, with the ability to manage multiple priorities and meet tight deadlines.
• People management experience.
• Experience with Tilpati and Ramp is preferred.
• Experience with SOX compliance and internal controls related to the revenue cycle.
• Passionate and knowledgeable about marketplaces. 

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $120,000 - $160,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

This role operates on a hybrid schedule requiring two days of in-office collaboration per week in our San Francisco office. 

About the Role:

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $150,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

This is a two day a week in office, hybrid role that sits in our San Francisco office.

About the Role: 

Taskrabbit is seeking a Senior Financial Analyst to join our FP&A team. The ideal candidate brings a background in both finance and data analytics. In this role, you’ll contribute to traditional FP&A responsibilities—such as preparing budgets, forecasts, and monthly reporting—while also serving as a key data resource within the finance organization. You’ll help bridge the gap between business and financial data, ensuring accuracy and integrity across sources. In addition, you’ll play a critical role in developing and implementing frameworks to deepen our understanding of marketplace profitability and guide investment strategy. We’re looking for someone with a proven track record in financial analysis, data analytics, and problem-solving. A good fit for the role will be highly self-motivated, intellectually curious, and analytical, with a strong sense of ownership and ethics that ensure high-quality results every day.

What you will work on:

• Build and manage financial reports, models, and recurring forecasts.
• Collaborate with cross-functional partners—including Data Engineering, Business Intelligence, and Accounting—to ensure accuracy and consistency in our financial data sources.
• Ensure changes to our business model are accurately captured in our financial reporting.
• Analyze anomalies in data, uncovering root causes, risks and opportunities.
• Design and maintain dashboards that track marketplace profitability and inform investment strategy (e.g., CAC/LTV, CPJ, unit economics, contribution margin).
• Conduct ROI analyses to evaluate and prioritize investment opportunities.

Who you are:

• Bachelor/Master’s degree in math, analytics, finance, or other quantitative discipline 
• 4+ years of corporate finance, tech industry, investment banking, consulting, or data analytics 
• Strong modeling skills - a spreadsheet wizard 
• Ability to communicate complex ideas clearly to both technical and business audiences, effectively serving as a bridge between the two
• Ability to identify critical business problems and address them through analytical models and solutions
• Self-starter with a curious mindset who can creatively solve problems
• Team-player who enjoys jumping into an all-hands-on-deck startup environment

Compensation & Benefits:

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable.  total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $100,000 - $140,000. This range is representative of base pay only and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas) for this position. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. 

About the Role: 

Taskrabbit is looking for a Lead Financial Analyst to join our FP&A team — someone who combines sharp financial instincts with the interpersonal skills to influence a fast-moving organization. In this role, you'll partner with business leaders across the company to understand performance, evaluate investments, and help shape our path to sustainable growth and increased profitability. You'll need to be technically excellent — superb modeling skills and comfort getting deep in the data details are baseline expectations. But what will set you apart is your ability to build genuine partnerships with stakeholders from diverse backgrounds, translate complex analysis into clear decisions, and earn a reputation as a trusted advisor. If you're highly self-motivated, intellectually curious, great at building connections, and bring a strong sense of ownership to everything you touch, this role is for you.

What You Will Work On:

• Build and maintain complex financial models and reports in close collaboration with cross-functional stakeholders
• Play a critical role in forecasting, budgeting, and monthly reporting cycles
• Conduct ROI analyses to evaluate and prioritize investment opportunities
• Present analysis to senior and cross-functional audiences — crafting compelling narratives that surface key strategic decisions, not just data
• Take a leadership role in internal team meetings; coach and motivate junior team members and drive process improvements across the finance function
• Help build finance's reputation as a strategic partner by consistently delivering actionable insights to the business
• Contribute to Taskrabbit's internal AI strategy — identifying and executing opportunities to make the finance team, and the broader organization, more effective through AI tools

Who You Are:

• Bachelor's or Master's degree in finance, mathematics, analytics, economics, or a related quantitative field
• 5–8 years of experience in corporate finance, FP&A, investment banking, consulting, or business analytics
• Experience in a fast-paced tech environment, ideally a marketplace business
• Excellent financial modeling skills with a hands-on approach to data and model construction
• A natural communicator who can bridge technical and business audiences — turning complexity into clarity
• Someone who identifies critical business problems and solves them with rigorous, creative analysis
• A self-starter who takes ownership, operates with high integrity, and brings curiosity to every challenge

Compensation & Benefits

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable.  total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $128,000-$155,000. This range is representative of base pay only and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas) for this position. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future.

About the Role:

The Demand Services Team is architecting the future of Taskrabbit’s service engine. Our mission is to build a scalable, event-driven ecosystem that captures client needs with more precision than ever before. This domain focuses on decoupling Demand from Supply and dismantling legacy constraints, empowering the platform to handle our customers' complex needs.

As a Staff Engineer on this team, you won’t just be maintaining a domain system, you will be building the foundation that unlocks high-value revenue streams and enables Taskrabbit to expand into entirely new categories. You will play a pivotal role in creating a better everyday life for our users by making complex home services feel seamless.

Join us in creating a better everyday life for everyday people.

You will be:

• Designing & Driving the implementation of complex, high-volume backend solutions, focusing on core demand flow and event-driven architectures.
• Contribute to the team’s technical roadmap by proposing and executing platform improvements that dismantle legacy constraints and increase scalability.
• Mentor and collaborate with junior engineers, guiding them through complex design decisions, best practices, and effective goal decomposition.
• Establish and document best-in-class coding patterns and domain standards, ensuring they are accessible and actionable across the team.
• Maintain a culture of excellence through thorough code reviews and by troubleshooting complex performance, testing, and deployment issues in a high-traffic production environment.
• Partner effectively with Product, Design, and other domain teams to ensure cohesive feature delivery and a seamless user experience.

You should have:

• 8+ years of professional experience in software development, with a primary focus on building and scaling complex backend systems.
• Expert-level proficiency in JavaScript, TypeScript, and the NestJS framework, with a proven track record of delivering high-quality, production-grade features at scale.
• Extensive experience building and consuming API-driven applications (e.g., RESTful services) and a strong understanding of microservice architectures.
• A solid foundation in Domain-Driven Design (DDD) principles and the ability to apply them to solve complex business logic challenges.
• Hands-on experience with Kafka or similar event-streaming platforms to build decoupled, resilient systems.
• A strong commitment to code quality, comprehensive documentation, and a mindset geared toward operational excellence and system reliability.
• Experienced in Ruby on Rails with a proven ability to navigate and interpret complex legacy codebases.
• Experience operating in a distributed systems environment and a solid conceptual understanding of event-driven architecture (e.g., using message queues or streams).
• Experience building and supporting containerized applications deployed into Kubernetes infrastructures.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $150,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas) for this position. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. 

About the Role

Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. This is a unique, full-stack role for an individual who is passionate about the entire machine learning lifecycle—from initial research and model development to building the robust infrastructure required to deploy and scale your work.

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial role in advancing our capabilities in areas like search ranking, content discovery, and recommender systems. You will collaborate closely with data scientists and other engineers to design and implement novel algorithms, and you will partner with software engineers to ensure the scalability, reliability, and optimization of our models in production.

What You'll Work On:

• Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery.
• End-to-End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring.
• Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes.
• Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation.
• Software Engineering Excellence: Independently solve complex problems, write clean, efficient, and sustainable code, and actively participate in code reviews, documentation, and the full software engineering lifecycle.

Your Areas of Expertise:

We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.

• BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field.
• 3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems.
• Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP.
• Solid software engineering skills with proficiency in one or more programming languages, including Python.​​  The candidate should have experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc.
• Proficiency in SQL is also required for writing complex queries and transforming data.
• Experience building REST API-based services.
• Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes.  
• Familiarity with dbt (Data Build Tool) is a plus for transforming and testing data.
• Familiarity with tools for Infrastructure as Code, such as Terraform, and CI/CD pipelines.
• Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences.
• A passion for quickly learning new technologies and a drive to solve challenging problems.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $150,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our new New York City office (opening April 2026).

About the Role

Data Science plays a crucial role in driving impact at Taskrabbit. As a member of the team, you will help drive our business strategy forward through predictive insights. We are seeking a highly skilled and motivated Staff Data Scientist to join us, working closely with cross-functional teams from product, finance, engineering, risk and operations to provide data-driven insights and solutions that enhance our products and accelerate growth while minimizing marketplace losses. 

What you will work on

• Be a strategic thought partner with stakeholders from product, risk, finance, engineering, and operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches. Present actionable insights in a clear and compelling manner.
• Proactively perform analytical deep dives to identify strategic growth opportunities in key business levers with a focus on commerce and risk
• Collaborate with stakeholders to define and measure success metrics for new features and products, conduct advanced experimentation and causal inference to optimize product features and user experiences
• Design, develop, and scale proactive fraud interventions using heuristic and/or machine learning models. These efforts will be focused on enhancing financial performance by mitigating issues such as chargebacks, fraud, transaction declines, and refunds.
• Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.

Who you are

• BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related field).
• A minimum of 7 years industry experience in data science; previous experience in a marketplace or fintech company is a plus
• Strong and relevant experience with advanced experimentation and statistical modeling; you have past experience with fraud/risk models in a marketplace/fintech context
• Excellent analytical and problem-solving skills.
• Excellent business acumen and strategic thinking skills, especially in a commerce/risk domain
• Expert in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git. Bonus points for experience in productionizing ML models and familiarity with ML Ops.
• A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact 
• Ability to communicate complex data findings in a clear and concise manner to an executive audience.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $170,000 - $225,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.