New York, New York
Hybrid
Senior
Full Time
💰$190 - $200/hour
AIproduct designB2B SaaSsenior levelleadership
Requirements
- •Staff-level product design experience, most of it in B2B SaaS ideally analytics or workflow tools where users make decisions from complex information.
- •Hands-on design experience shipping AI or agentic features yourself: chat interfaces, generative output, memory or personalization, human-AI trust patterns.
- •Ability to reason about the data model underneath an interface.
- •An extensive track record of shipping zero-to-one work in ambiguous problem spaces, with a clear line from that work to business outcomes, not just user outcomes.
- •Strong collaboration and facilitation skills: you can bring engineering, PM, and other designers to a shared decision, not just present finished work.
- •Leadership and influence.
- •Experience designing for LLM and AI experiences, including prompt engineering.
What You'll Do
- •Own design for Sense Analyst, the object model, and the inline visualisations it returns, from problem framing through to shipped detail.
- •Lead the experience strategy and vision for this product surface, and shape its roadmap alongside Product Management.
- •Work from the data model up: what counts as a persistent object, how memory and context carry across sessions, and how that surfaces to the person using it.
- •Set the quality bar for AI-generated output on these surfaces: what 'trustworthy' and 'good' look like, and how that gets versioned and evaluated with engineering.
- •Partner with engineering on customer facing agentic workflows and how AI-generated output gets versioned and trusted.
- •Work alongside the other designers building the AI-native parts of the product: review each other's work, push each other's thinking, and help less-senior designers on the team build judgement in this space.
Nice to Have
- •Designing for enterprise or executive personas.
- •Prototyping in code to test an interaction model before it's built.
- •A background in analytics, attribution, or behavioural data products.
Benefits
- •Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year
- •Work flexibility: hybrid and remote work policies
- •Generous paid time-off policy (every location is different)
- •Lifestyle allowance
- •A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work
- •Every full-time employee receives stock options, allowing them to share in the company’s success
- •Multiple Employee Resource Groups offering a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and advocate for issues close to their hearts
