Senior Product Designer - NYC

About Sequence

If you join Sequence, you'll help build the platform that lets companies get paid - we’re already processing $1bn+ in annual invoice volume and growing fast.

We're building the AI-powered revenue platform for modern finance teams, replacing fragile spreadsheets and legacy systems with software their teams love using.

Cognition, incident.io, MoonPay, and 100+ other high-growth companies trust us to handle their entire revenue cycle across quoting, billing, and revenue recognition.

Founded by repeat entrepreneurs, we hit 10x ARR growth last year and just closed a $20M Series A led by 645 Ventures, alongside a16z and exceptional founders and CFOs from companies like Decagon, Klaviyo and Wise.

What's it like to work at Sequence?

Small team, big opportunity, real ownership. You'll do work that matters, have direct access to customers, and grow alongside the company.

If you want to do the best work of your career at a company that's scaling fast, we'd love to meet you.

The role

We’re looking for a senior Product Designer (~5 YoE) to join Sequence and help shape the future of AI-powered finance automation. As one of our first designers, you’ll work closely with product, engineering, and founders to design intuitive, AI-native workflows for billing, invoicing, and receivables.

You’ll thrive here if you love operating in ambiguity, exploring new interaction models, and making AI agents feel both powerful and trustworthy.

You’ll be part of a small, high-leverage team where your design decisions have immediate product and customer impact.

What you’ll do

• Design AI-first product experiences across billing, invoicing, collections, and finance agent workflows

• Partner with PMs and engineers from discovery through shipping to bring new concepts to life

• Explore how agentic AI workflows should behave. What they do automatically, when they ask for input, how they explain their reasoning

• Move fluidly between broad concepts and tactical deliverables: from sketching a new finance copilot experience to refining a critical interaction for invoice approval

• Prototype rapidly, testing ideas with internal stakeholders and customers

• Contribute to design reviews and help build a strong design culture at Sequence

This may be a good fit if

• You’ve shipped B2B products, ideally in finance, b2b or workflow-heavy domains

• You’re comfortable in an early-stage environment and excited to help shape both product and process

• You’re interested in AI tools (such as Cursor, Midjourney, Figma Make, Claude Artifacts, etc.) and curious about designing with and for AI

• You embrace ambiguity and enjoy exploring entirely new interaction patterns rather than refining existing ones

• You prioritize speed and impact over weeks of analysis & research

This might not be a good fit if

• You want to spend most of your time running long-form user research studies or maintaining large design systems

• You prefer highly structured environments with detailed requirements

• You’re not interested in AI or unfamiliar with designing for AI-native workflows

Public resources on Sequence:

Youtube:

• Sequence Youtube Channel

Podcasts:

• Wharton FinTech: Reinventing Billing & Quote-to-cash (Dec 2025): origin story, why Riya built Sequence after her first exit.

• Tech Finance with Sasha Orloff: E14: Revenue Models 101 & the New Stack: pricing/revenue models, quote-to-cash thesis.

• Riding Unicorns: S6E5 (written recap): M&A, founding story, enterprise product views.

• Bae HQ: Episode 207: a16z round, category vision.

• The SaaS CFO with Ben Murray: AI-native B2B billing pitch.

• Converge Podcast (May 2024): "financial router" framing.

• Transcript of the Wharton FinTech episode if you want to skim rather than listen.

Written:

• USXP: From Oxford to a16z: building a US-first mindset at Sequence: go-to-market and US expansion.

• The FP&A Guy: How modern finance teams are automating billing with AI: guest piece on AI in finance ops.

• Sequence blog: Introducing Sequence 2.0: her launch post for the AI-native rebuild.