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Grammarly

Grammarly

www.grammarly.com

3 Jobs

1,593 Employees

About the Company

Grammarly stands with Ukraine. We invite you to do the same. Here are some ways you can help: gram.ly/WeStandWithUkraine
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Grammarly is the world's leading AI writing assistance company trusted by over 40 million people and 50,000 organizations every day. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 get their point across--and get results--without compromising security or privacy. We believe that great writing gets work done.

Grammarly's product offerings--Grammarly Business, Grammarly Premium, Grammarly Free, and Grammarly for Education--work where you do, delivering contextually relevant writing support across over 500,000 apps and websites.

Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME's 100 Most Influential Companies, one of Fast Company's Most Innovative Companies in AI, and one of Inc.'s Best Workplaces. Grammarly offers a dynamic hybrid working model. This approach helps foster trust, innovation, and a strong team culture, with the flexibility of working from home, whenever you need focus time.

Listed Jobs

Company background Company brand
Company Name
Grammarly
Job Title
Software Engineer, Data Hybrid - San Francisco
Job Description
Job Title: Software Engineer, Data Hybrid Role Summary: Design and lead development of scalable data platforms to manage 60–70 billion daily events. Focus on real-time/batch data pipelines, cloud infrastructure, data lakes, and backend systems for enterprise-scale analytics and product features. Expactations: - 10+ years building large-scale distributed systems with data engineering/modeling expertise. - 5+ years managing high-load production environments (data-intensive systems). Key Responsibilities: - Architect and implement data pipelines, data lakes, and storage solutions for real-time/batch processing. - Define platform strategy, technology stack, and system architecture for scalability and sustainability. - Collaborate with product, data science, and backend teams to develop analytics tools and data products. - Advise on technical roadmaps, mentor engineers, and ensure compliance with data governance/privacy laws. Required Skills: - Expert SQL; proficiency in Spark, Kafka, Terraform; Python, Scala, or Java. - ETL/ELT design (Airflow, dbt, Dagster), data quality frameworks, and cloud storage (Delta Lake, Snowflake, BigQuery). - Experience with secure, scalable data architecture and GDPR/CCPA compliance. Required Education & Certifications: - Bachelor’s or advanced degree in Computer Science or related field. - Certifications in data engineering/cloud platforms (e.g., AWS/Azure/GCP) preferred but not required.
San francisco, United states
On site
Senior
01-01-2026
Company background Company brand
Company Name
Grammarly
Job Title
Director, Solutions Product Marketing Hybrid - San Francisco
Job Description
**Job Title** Director, Solutions Product Marketing **Role Summary** Lead and grow a team of solutions product marketers to develop, execute, and continually refine go‑to‑market strategies for a portfolio of B2B AI‑powered enterprise products. Own the full product marketing lifecycle—from market research and messaging to sales enablement and integrated campaigns—while driving measurable revenue impact and influencing product direction through data‑driven insights. **Expectations** - Build and scale a high‑performance solutions marketing team in a fast‑moving environment. - Own the solutions GTM playbook, ensuring alignment with sales, product, and revenue marketing functions. - Translate complex, multi‑product offerings into clear, compelling value propositions that resonate across industries and decision‑maker levels. - Deliver integrated, data‑supported campaigns that generate qualified pipeline and measurable revenue growth. - Collaborate with senior stakeholders to influence product strategy and ensure market needs drive development. - Operate independently, prioritizing multiple initiatives, analyzing performance, and executing efficiently. **Key Responsibilities** 1. Recruit, mentor, and develop product marketing talent focused on solutions. 2. Design and maintain a solutions GTM playbook, including segmentation, positioning, messaging, and launch frameworks. 3. Craft high‑impact solution narratives, collateral, and sales enablement tools tailored to buyers and users. 4. Partner with sales leadership, revenue marketing, and product management to launch integrated campaigns and drive pipeline velocity. 5. Analyze business and market data; generate insights, identify optimization opportunities, and report on GTM performance metrics. 6. Provide executive‑level insights on market trends, competitive positioning, and product feedback; shape product strategy and road‑maps. 7. Champion AI and productivity themes, articulating their relevance to enterprise customers across verticals. **Required Skills** - Deep expertise in B2B SaaS product marketing with a focus on enterprise solutions (>7 years). - Proven track record building and leading marketing teams in high‑growth settings (>3 years). - Excellent storytelling, messaging, and positioning abilities that convert complex offerings into revenue‑driving propositions. - Strategic thinking coupled with execution discipline, data‑driven decision making, and strong analytical acumen. - Ability to influence senior leaders across marketing, product, and sales. - Strong executive presence and cross‑functional collaboration skills. - Passion for AI and future‑work technologies; experience with AI‑powered enterprise software is a plus. - Comfortable leading in an international, hybrid, or remote environment. **Required Education & Certifications** - Bachelor’s degree in Marketing, Business, Engineering, Computer Science, or related field (MBA preferred but not mandatory). - Relevant certifications (e.g., Product Marketing Certified, AI domain certifications) are viewed favorably.
San francisco, United states
On site
Senior
20-01-2026
Company background Company brand
Company Name
Grammarly
Job Title
Data Scientist
Job Description
Job title: Data Scientist Role Summary: Data Scientists in Product and Growth teams design experiments, develop metrics, and analyze large user datasets to inform product roadmap and marketing strategy. They build and deploy causal inference and machine‑learning models to drive engagement, retention, and feature adoption. Expectations: • Minimum 5 years of applied data‑science experience. • Proven record of delivering high‑impact analytics projects that influence strategy. • Strong cross‑functional collaboration with product, engineering, design, growth, and marketing. • Ability to translate business questions into quantitative experiments and actionable insights. Key Responsibilities: • Partner with growth, product, and engineering stakeholders to identify analytical priorities. • Build and maintain new metrics that uncover patterns in user behavior and inform product decisions. • Design, execute, and interpret A/B tests and other experiments across the user lifecycle. • Mine large datasets to discover insights for marketing channels (email, in‑product, push). • Develop and iterate causal inference and machine‑learning models that improve engagement, retention, and adoption. • Guide stakeholders with evidence‑based recommendations and roadmap influence. • Collaborate with other data scientists to refine methodologies, measurement frameworks, and tooling. Required Skills: • Fluent in Python and SQL with advanced data manipulation and exploration capabilities. • Deep understanding of statistical methods, including causal inference, hypothesis testing, and experimental design. • Experience designing and running A/B tests and interpreting results for product decisions. • Proficiency in building and deploying machine‑learning models to extract user insights. • Strong communication skills to explain complex analyses to non‑technical stakeholders. Required Education & Certifications: • Bachelor’s degree (or higher) in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative discipline. • Advanced degree or relevant certifications (e.g., Certified Analytics Professional, machine‑learning specializations) are a plus.
San francisco bay, United states
Hybrid
Mid level
05-02-2026