Robots & Pencils

HQ
Cleveland
Total Offices: 6
149 Total Employees
Year Founded: 2009

Robots & Pencils Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers supplemental life insurance

Offers life insurance

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers generous parental leave

Offers performance bonuses

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Provides free snacks and drinks

Offers travel concierge services

An Hour AgoSaved
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Information Technology • Design
Leads product strategy, vision, roadmaps, discovery, prioritization, and delivery for complex client engagements. Partners with executive stakeholders, defines success metrics, drives cross-functional alignment, facilitates strategic workshops, mentors product managers, and resolves complex product and technical challenges. The role also applies AI tools to product discovery, research synthesis, documentation, and prototyping while guiding the delivery of AI-powered products.
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Information Technology • Design
Leads end-to-end data science and machine learning engagements, from framing ambiguous business problems through production deployment. Builds predictive, prescriptive, deep learning, statistical, NLP, forecasting, optimization, and GenAI solutions; designs experiments and applies causal inference. Partners with engineering, product, and business teams, communicates findings to technical and executive audiences, establishes scalable ML processes, mentors junior scientists, and develops reusable tools and architectures.
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In-Office or Remote
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Information Technology • Design
Leads end-to-end data science and machine learning engagements, from ambiguous problem framing and statistical modeling through production deployment. Builds predictive, prescriptive, deep learning, GenAI, forecasting, NLP, and optimization solutions; designs experiments and causal analyses; and establishes scalable ML processes. Partners with engineers, product managers, and clients, communicates findings to executives, mentors data scientists, researches new approaches, and develops reusable tools and architectures.