Jobs at Wordsmith AI

Own a product domain end-to-end: define roadmap, scope and ship features, prototype and polish UX, create PRs with engineering, use product and customer data for decisions, work with marketing for launch and adoption, and track post-launch performance to iterate.

Manage and scale strategic SI, consulting, and ISV referral partnerships for Wordsmith. Drive co-sell strategy, account mapping, partner enablement, onboarding, commercial governance, and cross-functional alignment to generate partner-influenced pipeline and ensure high-quality delivery and adoption.

The Motion Designer will create launch videos, product animations, and social content, turning complex workflows into clear narratives while collaborating with various teams and managing freelancers.

The Data Scientist (Product Analytics) will develop product analytics, improve data quality, conduct A/B tests, analyze user behavior, and collaborate with cross-functional teams to inform product strategies and enhance user engagement.

Design and deliver product experiences for legal teams, build features, influence architecture, and foster collaborative practices.

Provide commercial legal support for SaaS agreements, develop legal workflows and templates using AI tools, and analyze contract data. Collaborate with sales and product teams to improve legal processes and product features.

The Product Designer will lead the end-to-end product design process, simplifying complex legal workflows and collaborating with cross-functional teams to define product direction and enhance user experience.

The Legal Ops Engineer will translate legal knowledge into structured workflows, collaborate with teams to enhance products, and build legal automation.

The GTM Legal Engineer role focuses on supporting in-house legal teams by leveraging AI and technology to improve legal operations, conducting demos, understanding departmental structures, and engaging with stakeholders to drive adoption of legal tech solutions.

Manage strategic partnerships and collaborations with AI product teams, focusing on product integration and co-marketing efforts to drive adoption and pipeline growth.