A

Ando

Team messaging platform for AI-enabled teams

Brand Designer

Full-TimeUpdated on 10/23/2026
No salary listed
Mid
San Francisco, CA, USA
In Person
Product & Experience DesignBrand Design

About the job

Requirements
  • A strong portfolio demonstrating design work.
  • A high degree of curiosity about new tools, such as Claude Code, Paper, and Unicorn.
Responsibilities
  • Work across motion, interaction, and sound design.
  • Redesign and expand existing brand materials, including the logotype and palette.
  • Create delight in details and attend to color and typography.
  • Select and liaise with third-party contractors when needed, including sound, shader, and illustration talent.
  • Move from broad conversations with the founder to reference gathering and execution.
  • Help drive the company's and its users' core narratives.
  • Work closely with product designers.
  • Use Ando every day.
Desired Qualifications
  • Enthusiastic reference gathering.

About the company

A

Ando

View
Website

Ando is a team messaging platform designed for humans and AI agents to work side by side in shared channels, threads, and conversations. It gives AI agents their own identities and inboxes so they can participate as team members rather than as separate apps, while staying agent-agnostic so customers can bring cloud agents they already use. The product is built to replace Slack-style workplace messaging for teams adopting AI coworkers, with a focus on seamless collaboration across human and AI participants. Ando’s approach differentiates it by treating agents as first-class participants with ongoing identities and inboxes, rather than bolt-on integrations, and by supporting multiple AI providers within the same workspace. The company aims to scale its platform across software, real estate, and finance customers in 15 countries, pursuing broad adoption of AI-assisted collaboration as a core way teams communicate.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • Ando raised $20 million on 2026-09-24 from Accel, Index, and Emergence.
  • Ando says teams in 15 countries use it across software, real estate, and finance.
  • AI workspace agents are surging; Ando launched exactly as buyers seek agent-native coordination.

What critics are saying

  • Slack launched Slackbot MCP Client on 2026-09-28, eliminating Ando's core distribution advantage.
  • Microsoft Entra agent identities and Teams governance directly attack Ando's identity and permissions pitch.
  • Ando still serves small teams; Slack and Teams can bundle agents without migration.

What makes Ando unique

  • Ando gives agents identities, inboxes, and channel access; Slack still treats them as apps.
  • Sara Du built Ando agent-agnostic, so Codex, Claude, and Grokbot all fit.
  • Ando unifies channels, DMs, live calls, and memory for human-agent collaboration.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Company Equity

Company News

The SaaS News
Sep 25th, 2026
Ando raises $20M seed.

Ando raises $20M seed. Ando raises $20M in a seed round from Accel, Index Ventures, and Emergence Capital to grow its AI agent-native team messaging platform. Updated September 25, 2026 Ando, a San Francisco based messaging platform designed for teams working alongside AI agents, has announced $20 million in funding in a seed round. The company is emerging from stealth to provide a specialized workspace where humans and AI agents can collaborate as team members with shared identity, permissions, and context. Investors. Participating investors in the round include Accel, Index Ventures, and Emergence Capital. Ando use of funds. Ando plans to use the capital to further develop its agent-native messaging platform and expand its reach to organizations looking to integrate AI agents as full participants in their workflows. About Ando. Founded in 2025 by Sara Du, Ando provides a messaging platform that treats AI agents as first-class members of the team. The company focuses on agent-agnostic collaboration, allowing teams to integrate various cloud agents into a shared communication workspace. Funding details. Company: Ando Raised: $20M Round: Seed Funding Date: September 2026 Additional Investors: Accel, Index Ventures, Emergence Capital Software Category: Communication Software Source: https://www.globenewswire.com/news-release/2026/09/24/3368344/0/en/ando-launches-agent-native-messaging-platform-announces-20-million-seed.html Updated September 25, 2026

McGauley Labs
Sep 25th, 2026
General Motors targets mission critical reliability as Ando launches agent platform.

General Motors targets mission critical reliability as Ando launches agent platform. High-stakes reliability is the priority as the sector shifts from experimental chatbots to mission-critical infrastructure. Leaders from **General Motors**, **Shield AI**, and **Waabi** are signaling that the next phase of deployment requires zero-failure tolerances in defense and autonomous... Executive summary. High-stakes reliability is the priority as the sector shifts from experimental chatbots to mission-critical infrastructure. Leaders from General Motors, Shield AI, and Waabi are signaling that the next phase of deployment requires zero-failure tolerances in defense and autonomous transport. This pivot suggests investors are demanding industrial durability over speculative growth. Startups like Ando are betting that the future of enterprise software isn't just better chat, but deep integration between humans and agents. While these tools aim to disrupt incumbents like Slack, new research on authorship verification suggests security and trust remain significant hurdles. If McGauley Labs cannot verify who or what is generating content, enterprise adoption will likely stall. Watch for a flight to quality. Today's cautious market sentiment reflects a realization that wrapping a model in a UI is no longer enough. Value is migrating toward companies that solve the failure problem and those building the functional plumbing for agentic collaboration. Product Launches | Bylines credit: McGauley Labs (Author), Gemini 3.0 Pro (Drafting model) Ando is launching a team messaging platform designed to treat software agents as native participants alongside human employees, aiming to challenge the Slack-Teams duopoly. The startup targets a specific friction point: current enterprise chat tools treat AI as an external integration rather than a primary team member. If Ando can prove that agentic workflows require a different interface than human-to-human chat, it could capture a slice of the $15B collaboration software market. Enterprise software buyers are currently navigating "AI fatigue" while searching for ways to operationalize autonomous agents. Slack and Teams are adding AI features, but their core architectures remain rooted in messaging paradigms from the previous decade. Ando is betting that companies will trade the convenience of an incumbent for a platform where agents can actually execute tasks within the communication flow. What's new The platform provides a unified environment where humans and agents share the same "seat" types, per TechCrunch. It prioritizes agent-to-agent and agent-to-human handoffs to reduce the manual project management usually required in hybrid workflows. The system aims to replace the fragmented "bot" experience with persistent digital coworkers that maintain context across entire channel histories. What to watch Incumbent response: Watch if Salesforce or Microsoft fast-track native agent identities to neutralize Ando's primary differentiator. Developer adoption: Monitor whether third-party agent builders prefer Ando's architecture over the restrictive API limits of Slack. Churn rates: Check early pilot data to see if teams maintain usage after the novelty of agent coworkers fades. Research & development. Contrastive learning is moving beyond simple image matching to address the looming crisis of digital provenance. New research on authorship verification (arXiv:2609.28471v1) suggests that labs are prioritizing the ability to distinguish between human and synthetic signatures. This is a critical pivot for investors in legal tech and cybersecurity, as the commercial value of authentic content rises in a market saturated by generated text. Efficiency remains the primary bottleneck for industrial applications like logistics and drug discovery. Researchers are now applying differentiable Gaussian representations (arXiv:2609.28405v1) to model collective dynamics with significantly less compute. By treating complex group interactions as differentiable physics problems, these systems can simulate large-scale environments without the traditional overhead of agent-based modeling. Theoretical work on transductive learning bounds (arXiv:2609.28459v1) provides the mathematical floor needed for high-stakes deployments in regulated industries. While most models struggle to generalize from small datasets, sharper transductive bounds allow developers to guarantee performance on specific, known test sets. This focus on reliability over raw scale is exactly what the market requires as the era of unconstrained growth hits technical and regulatory walls. Bylines: McGauley Labs (Author), Gemini 1.5 Pro (Drafting Model) Sources gathered by its internal agentic system. Article processed and written by Gemini 3.0 Pro (gemini-3-flash-preview). This digest is generated from multiple news sources and research publications. Always verify information and consult financial advisors before making investment decisions.

Accel
Sep 24th, 2026
Ando raises pre-seed and seed funding to build messaging platform for humans and AI agents

Ando, a team messaging platform designed for humans and AI agents to collaborate, has raised pre-seed and seed funding. The pre-seed round was led by Accel, whilst the seed round was led by Index and Emergence. Founded by Sara Du, a Thiel Fellow who previously founded Alloy Automation, Ando addresses the growing complexity of coordinating AI agents in the workplace. The platform allows teams to work with multiple agents in one shared environment, where context carries across conversations. Unlike traditional messaging platforms built for human-to-human communication, Ando enables agents to participate in conversations and take action alongside human teammates. The system learns from each interaction, making agents more aligned and proactive over time. The platform is now opening up to more teams.

Index Ventures
Sep 24th, 2026
Ando raises seed funding to rebuild team messaging for human-agent collaboration

Sara, founder of Ando, is building a messaging platform designed for teams that include both humans and AI agents. The company, which recently closed a seed round led by Lux Capital, aims to rearchitect workplace messaging from the ground up. Ando features three core layers: an agent execution layer managing how AI agents operate within conversations, a human messaging layer where writing and searching become unified actions, and a memory layer that tags messages with intent and context for retrieval. The founder previously dropped out of Harvard at 19 to start Alloy. Her design-first approach distinguishes Ando from AI tools that prioritise agent capabilities over human experience. Microsoft Teams alone generates nearly $10 billion annually from human-to-human collaboration. Ando positions itself as the first platform genuinely built for hybrid human-agent workforces.

Relve
Sep 24th, 2026
Ando team messaging app takes on Slack with agents.

Ando team messaging app takes on Slack with agents. Published · Sep 24, 2026 Why Relve is Watching this Agent-native chat is shifting from bots to full participants, and newcomers are testing whether that model can displace Slack and Teams. The next two quarters will show whether small-team traction converts into enterprise pilots. Key Takeaways * Ando team messaging app launches from stealth to let humans and AI agents collaborate natively as a Slack replacement. * $20 million raised across pre-seed and seed from Accel, Index Ventures, and Emergence. * Agent-first design gives agents identities and inboxes, lets them join channels untagged, and reads live call transcripts. * Competitive field includes Slack's AI agent, Microsoft Copilot in Teams, and Jack Dorsey's Buzz aimed at developers. What happened. Ando team messaging app emerged from stealth with a platform that lets humans and AI agents work side by side, pitching itself as a Slack replacement, according to TechCrunch. Agents are treated as participants, with identities and inboxes, free to browse channels, join threads without being tagged, and proactively ping teammates. The app also supports channels, DMs, group chats, and live calls with transcripts visible to agents. The company raised $20 million in pre-seed and seed financing from Accel, Index Ventures, and Emergence, funds earmarked for hiring and compute. Early customers span software, real estate, and finance across 15 countries, though current teams are small. Ando enters a crowded field as Slack and Microsoft deepen agent integrations, while new entrants chase an AI-native workflow. Twitter and Block co-founder Jack Dorsey recently unveiled the Buzz messaging app aimed at developers. Why it matters. If agents can join conversations directly, teams might eliminate the 'meat proxy' bottleneck, cut coordination overhead, and speed decisions. That dynamic could push more software toward agent-first design, from chat to systems of record, echoing agent-native CRM efforts challenging entrenched suites. Ando still faces an uphill battle against entrenched incumbents, as Slack and Microsoft already support agent experiences within their platforms. The company says many current customers are small teams, which tempers expectations for near-term enterprise impact, and Du said early demos often underwhelmed before usage increased over time. I think agents will let very small teams operate at a scale that previously required hundreds of people. Sara Du, Ando Bottom line. Key milestones include enterprise pilots, security reviews, and admin controls that govern how agents join and act in channels. Adoption will hinge on measurable lift in coordination metrics and retention, alongside maturing infrastructure like web indexing for AI that strengthens autonomous context. For operators evaluating agent collaboration, early pilots typically focus on low-risk workflows with clear success thresholds before adding seats. Vendor selection should weigh permissioning depth, cost control, and viability, a lens sharpened by comparisons across agent-native stacks from Relve, an AI tools intelligence platform.