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Gusto

Gusto

www.gusto.com

8 Jobs

3,572 Employees

About the Company

Launched in 2011 as ZenPayroll, Gusto serves more than 400,000 businesses nationwide. Each year, we process tens of billions of dollars of payroll and provide employee benefits--like health insurance and 401(k) accounts--while helping companies create incredible workplaces.

Through one refreshingly easy, integrated platform, we automate and simplify your payroll, benefits, and HR, all while providing expert support. You and your employees will get the peace of mind you need to do your best work.

Licensing details: https://gusto.com/about/licenses

Listed Jobs

Company background Company brand
Company Name
Gusto
Job Title
Software Engineering Manager, Time
Job Description
**Job Title** Software Engineering Manager – Time Tracking **Role Summary** Lead the engineering effort for the Time Tracking product, driving strategy, architecture, and delivery while building and scaling a high‑performance team. Own hiring, coaching, and cross‑functional collaboration to ensure product quality and alignment with business goals. **Expectations** - Deliver results in a fast‑moving, ambiguous environment. - Demonstrate product mindset and ability to translate customer needs into tech solutions. - Show proven hiring, mentoring, and people‑management skills. - Balance rigorous engineering practices with rapid iteration for customer impact. **Key Responsibilities** - Own the technical direction and product roadmap for Time Tracking, Time Off, and Scheduling. - Build, grow, and retain an engineering squad (Backend & Native Mobile). - Conduct regular 1:1s, performance reviews, and career development sessions. - Partner with product, design, and other engineering leads to define vision, prioritize features, and ensure seamless integrations. - Own architecture governance: scalable data models, API design, security, and performance. - Champion engineering best practices (code quality, CI/CD, automated testing). - Participate in daily cross‑team syncs (“Team Times”), pair programming, and code reviews. - Influence organizational design and segregation of responsibilities across product groups. - Mentor peers and support a culture of continuous learning. **Required Skills** - 8+ years of software development experience, including backend and native mobile systems. - 2–4 years of engineering management with a track record of hiring, coaching, and retaining high‑performing teams. - Strong technical acumen: architecture, scalability, data modeling, API design. - Exceptional product sense: ability to articulate “why,” simplify complex concepts, and inspire stakeholders. - Proficiency in interviewing and building diverse engineering teams. - Excellent communication, collaboration, and stakeholder management skills. - Comfortable navigating ambiguous problems and seeking clarity when needed. - Commitment to quality, code rigor, and customer financial impact. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related discipline (or equivalent professional experience). ---
Toronto, Canada
Remote
Senior
05-11-2025
Company background Company brand
Company Name
Gusto
Job Title
Revenue Analytics Intern
Job Description
**Job title:** Revenue Analytics Intern **Role Summary:** 12‑week internship embedded in the Revenue Operations team, focusing on data analysis to drive sales productivity and support the go‑to‑market strategy. Interns partner with Sales Operations, Finance, and leadership to deliver actionable insights and enhance reporting infrastructure. **Expectations:** * Deliver timely, high‑quality analytics that influence sales tactics and revenue goals. * Manage ambiguity, set clear priorities, and communicate findings to senior stakeholders. * Use data modeling, SQL, and advanced Excel to support decision making. **Key Responsibilities:** * Analyze customer conversion, sales touchpoint incrementality, and segment penetration to recommend improvements. * Evolve and maintain the data model that underpins sales reporting and quarterly read‑outs. * Establish best practices for the go‑to‑market motion in collaboration with the broader Revenue Operations group. * Produce dashboards, reports, and ad‑hoc analyses for Sales and Finance leadership. **Required Skills:** * Strong analytical mindset with proficiency in Excel/GSuite. * Working knowledge of SQL and data‑modeling best practices. * Ability to prototype AI‑enhanced workflows to scale operational deliverables. * Excellent written and verbal communication; capable of distilling complex concepts for senior leaders. * Proactive, independent problem‑solving with meticulous attention to detail. **Required Education & Certifications:** * Pursuing a BS or MS in Business Analytics, Statistics, Economics, Data Science, or a related analytical discipline. * Expected graduation between December 2026 and June 2029. * U.S. work authorization required; sponsorship not available.
Denver, United states
Hybrid
Fresher
12-11-2025
Company background Company brand
Company Name
Gusto
Job Title
Data Science Intern
Job Description
Job title: Data Science Intern Role Summary: A 12‑week summer internship focused on full cycle data science—from framing business problems to deploying predictive models and communicating insights. Interns work directly with product and engineering teams to drive data‑driven decisions that improve services for small businesses. Expactations: - Current PhD or MSc student in Computer Science, Statistics, Mathematics, Economics, Data Science or a related quantitative field. - Expected graduation between December 2026 and June 2027. - U.S. work authorization, no sponsorship. - Hybrid availability (at least two office days per week). - Strong foundation in statistical modeling, experimental design, and data analysis. Key Responsibilities: - Translate ambiguous product questions into measurable, hypothesis‑driven research designs. - Design, implement, and analyze A/B tests and other experiments to inform product strategy. - Build, validate, and deploy predictive models and statistical tools using Python or R. - Leverage AI techniques to automate manual work, prototype solutions, and assess application performance. - Present complex analytical findings to both technical and non‑technical stakeholders, influencing product direction. Required Skills: - Proficiency in Python or R for analytical modeling and scripting. - SQL proficiency for data querying and manipulation. - Applied experience in statistical modeling, hypothesis testing, and experimental design. - Familiarity with experimental analytics frameworks (e.g., feature flagging, test management). - Ability to apply AI/ML methods to solve business problems. - Excellent written and verbal communication; ability to collaborate cross‑functionally. Required Education & Certifications: - PhD or MSc candidate in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Data Science, etc.). - No additional certifications required.
Denver, United states
Hybrid
Fresher
13-11-2025
Company background Company brand
Company Name
Gusto
Job Title
Applied Machine Learning Engineering Intern
Job Description
Job title: Applied Machine Learning Engineering Intern Role Summary: A 12‑week summer internship focused on the end‑to‑end development of production‑ready machine learning systems that directly impact product performance and customer experience. Interns will collaborate with data scientists, product and engineering teams to design, build, deploy, and maintain scalable ML models and monitoring pipelines in a cloud environment. Expectations: - Current enrollment in a Master’s or PhD program in Computer Science or a related technical field with expected graduation between December 2026 and June 2027 (Master’s) or December 2026 and June 2028 (PhD). - U.S. work authorization (no visa sponsorship). - Availability to work hybrid, with a minimum of two on‑site days per week in San Francisco. Key Responsibilities: 1. Design and implement scalable machine learning models and data pipelines for production use. 2. Write production‑grade Python code, integrating models into core platform products. 3. Collaborate with cross‑functional teams (product, engineering, data) to translate business requirements into ML solutions. 4. Develop and maintain monitoring systems for model performance, drift, and reliability. 5. Partner with Data Scientists to evaluate, test, and certify models for production readiness. 6. Participate in code reviews, documentation, and continuous improvement initiatives for ML engineering practices. Required Skills: - Strong programming proficiency in Python; experience with scikit‑learn, TensorFlow, or PyTorch. - Practical knowledge of the full ML lifecycle: data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring. - Familiarity with cloud platforms (AWS, GCP) and big data technologies (Spark, Hive). - Ability to design and implement robust, scalable systems in a production environment. - Excellent written and verbal communication skills; proven collaboration in cross‑functional teams. - Experience employing AI to automate or enhance business processes (preferred). - Basic familiarity with large language model (LLM) applications is a plus but not mandatory. Required Education & Certifications: - Pursuing a Master’s or PhD degree in Computer Science or a closely related technical discipline, with a projected graduation date within the specified windows. This concise profile is designed for ATS compatibility and global job matching.
San francisco bay, United states
Hybrid
Fresher
19-11-2025