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MODA
AI design agent with brand memory and taste
Last verified August 17, 2026 · Updated daily
What MODA is building
AI image generators produce content fast. What they don't produce is brand-aligned, editable, tasteful output. Moda is attacking that gap. The platform deploys AI agents that ingest a company's website, Google Drive, past decks, and existing brand assets to build a persistent memory of its visual language. When you ask Moda to create a sales deck or a social post, the agent understands your typography, your colour system, your layout hierarchy, and your brand tone, and produces fully layered, editable output on a collaborative canvas that exports natively into Google Slides and PowerPoint. There's no migration friction, no learning curve, no vendor lock-in. Moda describes its positioning simply: "the world's first design agent with taste." Customers like Fermat, Speak, and Mintlify are already using it for investor decks, enterprise sales collateral, brand campaigns, and packaging design.
Why this matters
AI content generation is commoditised. Every marketing team in the world now has access to image generators, but the outputs are brand-agnostic and non-editable, which is why Anvisha Pai calls it "AI slop." The companies winning the next design software war won't be the ones with the most generative capability. They'll be the ones whose AI actually understands what your brand looks and feels like and produces work you can actually use without a designer fixing it. Moda's direct competitor, Gamma, raised $68M at a $2.1B valuation in November 2025 and crossed $100M ARR. That's the proof point for the market size. Moda is betting it can win the brand depth and agentic persistence layer that Gamma doesn't own yet. General Catalyst's Quentin Clark phrased the investment thesis precisely: "In the AI software era it's much harder to create something with real taste, making design and brand judgment a true moat." Jeffrey Katzenberg's WndrCo involvement is also strategic: he spent decades at Disney and DreamWorks building brand-consistent visual universes at scale. His involvement signals that Moda is being taken seriously by people who understand the commercial value of visual brand at depth.
Open roles at MODA
3 positions we're tracking. Roles are re-checked daily and removed when filled.
Know when MODA is hiring before anyone else
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching MODA
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Hiring outlook
Very High. Four roles are live right now on their Dover careers portal: Chief of Staff, Founding AI/ML Engineer, Founding Engineer, and Software Engineer (New Grad). This is a founding team build, not a scaled-up recruiting push.
Working at MODA
MODA is AI design agent with brand memory and taste, founded in and now <50 people. What this means for you: broad remit, direct access to founders, and equity that still means something if the company works out.
CA, USA is where most MODA positions are located.
How to actually get hired at MODA
Why applying the normal way doesn't work
With only <50 employees, MODA doesn't have dedicated recruiters. Founders review applications between running the company. The challenge isn't competition — it's visibility. Direct outreach wins.
Who to contact at MODA
Founding team
Anvisha grew up in Mumbai and moved to the US alone at 17 to study at MIT, where she majored in Computer Science with a minor in mathematics, was a teaching assistant for 6.006 Introduction to Algorithms (one of MIT's most demanding CS courses), and did undergraduate research at CSAIL, MIT's flagship AI and computer science lab. Her career trajectory reads as unusually coherent for a founder of her age: she was an engineer at Rep (backed by Accel, First Round, and Forerunner), co-founded Slab Inc. (a knowledge-sharing platform), interned at Google and Affirm, and worked as a product manager at Dropbox before its IPO. She then co-founded Dover, the AI recruiting platform, which raised $23M from YC, Founders Fund, and Tiger Global and was valued at $300M. Dover is notable for a specific reason here: it built the careers portal that Moda's own hiring page runs on. Anvisha has talked publicly about her motivation for Moda in unusually personal terms: she described the launch as something she wanted to build that her parents could use, and framed her immigration and MIT journey as the context for why democratising taste and design matters to her. On X, she announced the launch with "We raised $7.5M to kill AI slop." Her handle is @anvisha.
Ravi studied CS at Stanford for a BS and MS, but what's less commonly surfaced is that before committing fully to software, he spent a period as a semi-professional musician. That detour is relevant: it suggests someone who arrived at technical building deliberately, not by default, and who has a non-standard relationship with creativity that maps well to what Moda is building. He co-founded Heap in 2013 with his Stanford friend Matin Movassate, scaling it to a $960M valuation before it was acquired by Contentsquare. He has written publicly and at length about the difference between finding product-market fit the first time versus the second, and about how the challenges of scaling a company shift from zero-to-one to operational coordination. Airplane, his second company, was co-founded with Joshua Ma and acquired by Airtable. His first Airplane customer, by his own admission, was Anvisha Pai's startup Dover, which is the origin story of this founding team. He writes regularly on LinkedIn about SaaS, product, and founder lessons.
John was employee number one at Dover, which means he built the technical infrastructure of Anvisha's last company from the ground up. Before Dover he scaled infrastructure at Expanse, the cybersecurity startup that was acquired by Palo Alto Networks. He has the lowest public presence of the three founders and does not appear to have a prominent X or writing presence, which makes LinkedIn the primary outreach channel. The fact that he followed Anvisha from Dover to Moda as a co-founder rather than an employee is a strong signal about the quality of the working relationship and his belief in the thesis.
What to show them
This is a founding-level operator role. At Moda's current size, the Chief of Staff is working directly with Anvisha on everything from partnerships and investor relations to hiring pipeline to product prioritisation. It requires someone who can hold multiple contexts simultaneously, move fast without losing quality, and thrive in ambiguity without becoming a bottleneck. Core skills: startup operations, executive communication, project management across functions, hiring support, strategic writing, stakeholder management, comfort with ambiguity. Proof of work: Write a one-page "week one" operating memo for a Chief of Staff joining a 10-person AI design startup that just publicly launched: what are the three highest-leverage things you'd tackle in the first week, what decisions would you be making without being asked, and what would you hold back on? Share this with the application or use it to start the conversation.
A cold email that works at MODA
What MODA screens for
The Dover careers page is live with four roles, all stamped "founding" or early-stage seniority. Crucially, these roles went up on March 24, 2026, the same day as the public launch and the funding announcement, they are days old. Anvisha has framed the hiring explicitly as "assembling a world-class founding team." The Founding AI/ML Engineer role is in-office New York, which signals that the core model and agent work is being done in the room with the founders. The Founding Engineer is hybrid between NYC and SF, which is the widest geographic flexibility on offer. The Chief of Staff role is notable: at a company this size, this person sits directly next to the CEO and is likely doing everything from investor reporting to product strategy to hiring coordination. General Catalyst's standard post-seed playbook pushes portfolio companies toward rapid team build and aggressive GTM within six months of the raise. With 3,000 beta users and paying customers already, the pressure is on.
Tailor your CV to the specific MODA role rather than sending a general one. Applications that mirror the language of the job description clear automated filters at a materially higher rate.
Don't make these mistakes
Applying to Moda with a design portfolio that doesn't show product thinking. Anvisha is an engineer and PM first. Ravi has spent a decade building SaaS infrastructure. John built infrastructure at two exits. This is a technical founding team building a design product. They are not looking for designers who love AI tools. They are looking for builders who understand that taste is a technical problem. Lead with what you've built and what architectural decisions you made, not with your Figma skills.
Mistakes that kill MODA applications
Don't send the same CV you sent everywhere else. At <50 people it's obvious, and it's the fastest rejection there is.
Nobody cares what you want. Start with AI content generation is commoditised and how you'd help.
Most B2B, Infrastructure applications get ghosted. A day-five follow-up can double your response rate.
Applying to MODA? Get the contact, not the form.
The MODA interview process
3 stages · 7 days typical · take-home: no · modelled from similar companies
We don't yet have verified candidate reports for MODA. What follows is the typical process for a <50-person B2B, Infrastructure company — treat it as a model, not confirmed detail.
Interview stages
Intro Call
Video call · 30 min
Culture fit and role expectations
Founder or hiring manager
Technical Deep Dive
Video call or in-person · 60 min
Past projects and problem-solving approach
Technical founder or lead
Final Round
In-person or video · 45 min
Team fit and offer discussion
Founding team
MODA interview timeline
MODA runs about days from first contact to offer. The median for B2B, Infrastructure companies at <50 people is 10 days, so MODA is faster than most.
Interviewed at MODA?
Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Submit your MODA interview experience →MODA jobs, frequently asked questions
How many jobs does MODA have open?
We're tracking 3 active openings at MODA (verified March 2026).
Does MODA hire remotely?
Currently, MODA only has in-office roles in CA, USA.
What roles is MODA hiring for?
MODA is hiring across Operations, Engineering. The most recent opening is Chief of Staff.
How do I apply for a job at MODA?
Click through to apply, or see our detailed guide on landing a job at MODA.
Does MODA respond to cold emails?
We haven't verified response rates at MODA yet.
Who is the hiring manager at MODA?
At this size, hiring is usually run by a founder or department head.
What ATS does MODA use?
MODA uses Workable.
How competitive is it to get hired at MODA?
Roles at <50-person B2B, Infrastructure companies typically draw 50-100 applicants in the first two weeks. Applying inside 72 hours of a posting going live is the single biggest lever you control.
How many rounds is the MODA interview?
3 stages: Intro Call, Technical Deep Dive, Final Round.
Is the MODA interview hard?
The interview emphasizes relevant experience and culture fit over abstract problems. Hardest stage: Final Round.
Does MODA give a take-home task?
No, MODA does not include a take-home stage.
How long does MODA take to get back to you?
Around 7 days across the full process.
What should I prepare for the MODA interview?
Study relevant experience and culture fit. At this size (<50), they care about self-sufficiency over textbook knowledge.
Where is MODA based?
MODA is headquartered in CA, USA.
Get MODA roles before they're posted
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching MODA
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+