Senior Content Strategist
EPAM Systems
Responsibilities
- Establish and lead the content strategy and information architecture for the CLS platform, including the new Google Skills experience
- Create scalable content frameworks and set up the product's official Voice & Tone Guide
- Spearhead impactful Accessibility initiatives, making sure product content complies with WCAG standards and works with screen readers and other assistive technologies
- Take ownership of all UX copy across the CLS platform, removing friction and enabling faster velocity for design and engineering teams
- Function as the go-to content expert to reduce reputational risk in AI features by aligning user-facing content with Google's AI Principles
- Support alignment on how UX quality is defined and measured, including user comprehension
- Design and lead content experiments, such as A/B tests, to show measurable ROI from content decisions
- Guide planning and prioritization alongside cross-functional stakeholders and UX peers to surface high-impact opportunities and improve operational efficiency
- 5-9 years of industry experience overall
- A Bachelor's degree or equivalent practical experience
- 6-8 years working in UX writing, content design, or technical writing within an applied product setting, including 3+ years leading content strategy work
- Background in UX-driven product writing and developing content for cross-functional projects
- A track record of partnering with and influencing stakeholders across Product Management, Data, Engineering, and Marketing to align internal and external messaging
- Proven ability to create and scale content for complex technical products
- A resume that includes a portfolio, website, or link demonstrating your work
- Experience in EdTech, Cloud (B2B/B2C), or Enterprise learning environments
- Deep expertise leading content design for complex products involving Trust, Consent, and Transparency
- Hands-on experience leading Accessibility (a11y) and Localization (l10n) initiatives with measurable impact
- Comfort working with AI features and platforms, particularly around building user trust and mental models