--- title: 'Sierra — company profile' canonical: 'https://feeny.ai/companies/sierra' type: 'company' updated: '2026-07-02' --- # Sierra > Enterprise AI platform for building branded customer-service agents that resolve conversations across chat, voice, and messaging. - **Website:** https://sierra.ai/ - **Type:** Private (VC-backed, Series E) - **Headquarters:** San Francisco, California, USA - **Founded:** 2023 - **Founders:** Bret Taylor, Clay Bavor - **Valuation:** $15.8B (May 2026) - **Total raised:** ~$1.585B - **Latest round:** ~$950M Series E at a $15.8B post-money valuation (May 2026) - **Investors:** Tiger Global, GV (Google Ventures), Greenoaks, Sequoia, Benchmark - **Business model:** Enterprise SaaS sold on outcome-based pricing: customers pay when the AI agent achieves a defined, valuable outcome rather than per seat or per interaction. All deals run through enterprise sales and custom contracts. - **Industries:** Artificial Intelligence - **Open roles:** 175 - **Profile:** https://feeny.ai/companies/sierra ## What they do Sierra builds and runs branded AI agents that handle customer interactions end to end, across voice, chat, email, SMS, WhatsApp, and ChatGPT, connected to a company's systems of record so the agent can take real action. ## Overview **The bet that AI can run the contact center, not just help it** Sierra is the clearest test yet of a simple wager: that an AI agent can actually finish customer service work, not just draft a reply for a human to check. Its co-founders picked the fight for a reason. Bret Taylor was co-CEO of Salesforce, CTO of Facebook, and a co-creator of Google Maps, and he now chairs the board of OpenAI. Clay Bavor spent 18 years at Google running Labs, AR/VR, and Workspace design. They started the company in 2023 and moved fast. By late 2025 Sierra hit a reported $100M revenue run rate in under two years, and it now says roughly 40% of the Fortune 50 use its agents across chat, voice, email, SMS, WhatsApp, and ChatGPT. The company charges only when the agent delivers a result, which is either the boldest or the riskiest part of the whole plan. ## What They Do **One AI agent, every channel, on your brand** Sierra builds and runs branded AI agents that talk to a company's customers and actually resolve things: return an order, process an insurance claim, answer a co-pay question, originate a mortgage. The pitch is that a single agent works across voice, chat, email, SMS, WhatsApp, and ChatGPT in 58 languages, always on, and connected to the systems of record it needs to take real action. What separates it from a chatbot is the platform underneath. Sierra Agent OS lets companies build an agent, watch how it behaves, test it against edge cases, and keep improving it, with guardrails and a brand voice baked in so the thing stays on-message under pressure. ## Problems **Killing the tradeoff between good support and cheap support** Contact centers have always been stuck choosing between quality and cost: hire more people for better service, or cut staff and watch wait times and frustration climb. Sierra's answer is an agent that handles high volume on its own, hands off to a human when it should, and keeps context across the whole conversation so customers do not have to repeat themselves. The harder problem it takes on is trust. Enterprises will not point AI at billing, health benefits, or claims unless they can see why it did what it did, so Sierra leans hard on testing, observability, and the promise that customer data never trains its models. ### Problems addressed - The cost-vs-quality tradeoff in customer support - High support volume that overwhelms human teams - Fragmented experiences across chat, voice, and messaging channels - Enterprise distrust of opaque AI through testing, observability, and guardrails - Slow, manual agent development and maintenance ## Who It's For **Built for large enterprises with real support volume** This is an enterprise product, and Sierra does not pretend otherwise. Its named customers skew toward big, regulated, high-volume operations: health systems, insurers, telecom, banks, retailers, and travel brands. Reviewers make the flip side plain, noting the platform usually needs a dedicated engineering team to integrate and map complex flows, which leaves smaller businesses out. The buyers are the CX and operations leaders drowning in call volume, plus the engineering teams asked to make an agent production-ready. Sierra sells to both, which is why it ships a no-code studio for one and an SDK for the other. ### Ideal customer profiles - **CX and support leaders** — Rising call volume and wait times; Pressure to cut cost without hurting satisfaction; Keeping the experience consistent across channels - **Operations leaders** — Scaling support without linear headcount growth; Measuring and proving business impact; Turning support into revenue and retention - **Engineering teams** — Building production-ready agents fast; Integrating agents with systems of record securely; Testing, observing, and improving agent behavior over time ## Products **Agents that build and fix other agents** Sierra's most interesting idea is that you should not have to hand-build an AI agent at all. Ghostwriter takes your SOPs, transcripts, or a plain-English description and produces a working, multilingual, multichannel agent, then keeps testing and patching it. Explorer runs ChatGPT-style deep research across thousands of real conversations to tell you what to fix next, and can send that fix straight back to Ghostwriter. Underneath sits Agent OS: an Agent SDK for engineers who want to write customer journeys as code, Agent Studio for teams who want no code at all, plus memory, decisioning, and observability so the agents get smarter with every conversation. ## Business Model **You only pay when the agent gets the job done** Sierra sells on outcome-based pricing, which it describes as charging only when its software achieves a specific, valuable result rather than per seat or per interaction. It is an aggressive way to sell software and a clean alignment story for a buyer worried about paying for an AI that does not work. There is no public price list. Everything runs through enterprise sales and custom contracts, and reviewers repeatedly flag the pricing as opaque and expensive, which is the tradeoff for a model built entirely around large, negotiated deals. ## Competition **The scramble to own the enterprise AI agent** Sierra is one of the loudest names in a crowded fight to run enterprise customer service with AI, up against conversational-AI platforms like Cognigy and a wave of agent startups, plus the incumbents whose seats it wants to replace. Its edges are the ones money and pedigree buy: a founder who ran Salesforce and sits on OpenAI's board, a full build-test-observe platform instead of a bare model, and outcome-based pricing that reframes the sale. The strategic bet it keeps making is that the future is agents you describe rather than software you configure, and it is spending nearly a billion dollars of fresh capital to get there first. ### Their edge - **Agent-native platform** — A full build-test-observe stack (Agent OS, Ghostwriter, Explorer) rather than a bare model or a scripted chatbot. - **Outcome-based pricing** — Charges only when the agent delivers a defined result, aligning cost with value in a way per-seat rivals cannot easily match. - **Founder and capital pedigree** — Co-founded by Bret Taylor (ex Salesforce co-CEO, OpenAI board chair) and Clay Bavor (ex Google Labs), backed by ~$1.6B in funding. - **Enterprise trust posture** — Customer data is never used to train models, with heavy testing, observability, and guardrails built for regulated industries. ### Where they're betting - Owning enterprise customer experience with autonomous agents - Software you describe rather than configure (agents building agents) - Deep expansion into regulated verticals like healthcare and financial services ## Proof **The results Sierra puts on the table** The customer numbers are specific enough to be worth something. Minted reports case resolution above 65% and CSAT around 95% on its Sierra agent. Sutter Health, with 25 hospitals and over 3.5 million patients, uses agents inside its chronic disease program, and Sierra says its healthcare agents already reach more than half of U.S. families. The logos back the scale story: ADT, Safelite, Clear, Casper, DIRECTV, SiriusXM, Ramp, SoFi, Vanguard, Rocket Mortgage, Wayfair, and more. These are the company's own selected wins, but they are named, dated, and tied to real metrics rather than vague claims. ## What People Say **Loved for volume, knocked for complexity and price** The praise across reviews is consistent: Sierra chews through high chat volume, keeps the experience steady across channels, and its hands-on team makes integrations go faster than expected. Buyers who commit tend to like what they get. The complaints are just as consistent. The platform has a real learning curve, it is not plug and play and usually demands a dedicated engineering team, pricing is opaque and steep, and some users report the agent can be slow to sense frustration and escalate. This is powerful software with a heavy lift, and the reviews reflect that honestly. ## Funding **$1.6B raised and a $15.8B valuation to grow into** Sierra has raised roughly $1.585B, and the ramp is steep. In September 2025 it took $350M at a $10B valuation in a round led by Greenoaks. Eight months later, in May 2026, it raised about $950M at a $15.8B post-money valuation, this time led by Tiger Global and Google's GV, with Sequoia, Benchmark, and Greenoaks along for the ride. The capital tracks the revenue: roughly $100M ARR in November 2025, then a reported $150M by early 2026. A $15.8B price tag is now the bar the company has to grow into. ## Team & Culture **In-person, intense, and unusually senior** Sierra is deliberately an in-person company, headquartered in San Francisco with offices in New York, Atlanta, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney. It runs on five stated values, Trust, Customer Obsession, Craftsmanship, Intensity, and Family, and the careers copy leans into speed, taste, and getting the details right. The culture reads high-intensity but not careless: leadership says balance and intensity can coexist and pitches Sierra as one of the best tech companies for parents. Everyone is expected to know the customers, and when one has a problem the team drops everything to fix it. ## Compensation **Frontier-lab pay, equity for full-timers, global bands** Sierra pays at the top of the market and discloses ranges across many roles and currencies. In the U.S., engineering bands run into the low $400Ks at the high end, with product, sales, and design in similar territory; it also posts bands in GBP, EUR, SGD, AUD, CAD, and JPY for its global offices. These figures are base only. Full-time employees are eligible for Sierra's equity plans, and sales roles carry commission on top, so the real package for most people runs meaningfully higher than the salary line. ## Security & Legal **The trust boundary is a product, not a footnote** The legal entity behind the product is Sierra Technologies, Inc. Its core promise to enterprise buyers is that customer data is never used to train its models, and it treats the boundary between a live conversation and its systems as an engineering discipline: on payments, sensitive data enters as voice or chat and leaves as a token, so the agent never touches the plaintext. Sierra also draws a clean line on data it processes for customers versus data it collects itself, and it says any request about that customer data goes to the customer, not to Sierra. ## In the News **A fundraising and revenue streak the press keeps tracking** Sierra has become a fixture in AI business coverage, mostly for how fast its valuation and revenue are climbing. The through-line across the reporting is the same: a marquee founder, a hot category, and numbers that keep beating the last headline. The recent trail runs from the $350M round at a $10B valuation in September 2025, through the $100M ARR milestone that November, to the roughly $950M raise at $15.8B in May 2026. ### Coverage - [Sierra raises $950M as the race to own enterprise AI gets serious](https://techcrunch.com/2026/05/04/sierra-raises-950m-as-the-race-to-own-enterprise-ai-gets-serious/) — TechCrunch (2026-05-04) - [Bret Taylor's Sierra reaches $100M ARR in under two years](https://techcrunch.com/2025/11/21/bret-taylors-sierra-reaches-100m-arr-in-under-two-years/) — TechCrunch (2025-11-21) - [Bret Taylor's Sierra raises $350M at a $10B valuation](https://techcrunch.com/2025/09/04/bret-taylors-sierra-raises-350m-at-a-10b-valuation/) — TechCrunch (2025-09-04) - [Bret Taylor's AI Startup Sierra Reaches $10 Billion Valuation](https://www.bloomberg.com/news/articles/2025-09-04/bret-taylor-s-ai-startup-sierra-reaches-10-billion-valuation) — Bloomberg (2025-09-04) - [Bret Taylor's Sierra raises nearly $1B in latest AI capital push](https://www.cnbc.com/2026/05/04/bret-taylor-sierra-fundraise-openai.html) — CNBC (2026-05-04) - [Sierra revenue, valuation & funding](https://sacra.com/c/sierra/) — Sacra ## Outlook **Prove the outcomes, grow into the price** Sierra has the money, the founders, and the logos to be a defining company in enterprise AI, and the ARR curve suggests demand is real. The open questions are the ones its own reviews raise: can it make deployments less heavy, its pricing less opaque, and its agents reliably good enough to justify a $15.8B valuation. If outcome-based pricing holds up, meaning customers keep paying because the agents keep working, Sierra's bet pays off. If the results wobble at scale, that same pricing becomes the pressure it has to answer for. ## Company details - **Mission:** Help businesses build better, more human customer experiences with AI. - **Products:** Sierra Agent OS, Ghostwriter, Explorer, Insights, Agent Data Platform, Agent SDK - **Notable customers:** ADT, Sutter Health, Minted, Safelite, Clear, Casper, DIRECTV, SiriusXM, Ramp, SoFi, Vanguard, Rocket Mortgage, Wayfair, Redfin, Docusign, CDW, Deliveroo, Discord, Rivian, Tubi, Cigna - **Customer segments:** Large enterprises, Financial services, Healthcare, Telecommunications, Media & entertainment, Travel & hospitality, Retail & consumer goods, Technology - **Buyers / users:** CX and customer-support leaders, Operations leaders, Engineering teams building AI agents - **Competitors:** Cognigy, Decagon, Salesforce Agentforce, Legacy contact-center and chatbot vendors - **What sets them apart:** Agent-building and agent-optimizing agents (Ghostwriter, Explorer) instead of hand-built bots; Outcome-based pricing aligned to results; Full build-test-observe platform, not just a model; Founders who ran Salesforce and Google product orgs; Bret Taylor chairs OpenAI's board; Customer data never used to train models - **Tech stack:** Conversational AI agents, LLMs, RAG, Voice / telephony, Multichannel messaging, 58 languages - **Integrations:** CRM systems, Order management systems, Systems of record, Data warehouses, Contact-center platforms, Telephony providers, ChatGPT ## Open roles (175) - [Recruiter](https://jobs.ashbyhq.com/sierra/1781b6b1-0f80-4163-bff1-321317554c22) — Sydney, Australia - [Recruiting Manager](https://jobs.ashbyhq.com/sierra/0b6fd623-0dc8-4a91-8d62-f1901272490c) — Tokyo, Japan - [Pricing Strategy & Operations](https://jobs.ashbyhq.com/sierra/ec002675-cffd-4db7-9a5c-f089f74080bc) — Singapore - [Business Recruiter](https://jobs.ashbyhq.com/sierra/c0c29aa8-0c94-4d03-858e-201d19ee6937) — San Francisco, CA - [Regional VP, Sales - High Growth Enterprise](https://jobs.ashbyhq.com/sierra/c3bfb681-065e-4dc7-bba8-ba6ff25d8fda) — San Francisco, CA - [Product Manager, Agent Development](https://jobs.ashbyhq.com/sierra/dc443fd1-14bd-493c-9397-c3713c78321c) — Singapore - [Strategist, Agent Development (Spanish speaking)](https://jobs.ashbyhq.com/sierra/83a88812-d488-4a24-bb39-e1b0aa6dd240) — San Francisco, CA - [Software Engineer, Agent - Healthcare Integrations](https://jobs.ashbyhq.com/sierra/97ca0c70-f371-4167-9908-2adca3464b8d) — San Francisco, CA - [GTM Operations Analyst, Agent Development](https://jobs.ashbyhq.com/sierra/6c246883-6335-413e-9183-ece94780590c) — Singapore - [Strategist, Agent Development - Retail](https://jobs.ashbyhq.com/sierra/02382d7f-0fb2-4ba3-89af-caf20a448e3a) — San Francisco, CA - [GTM Operations Analyst, Agent Development](https://jobs.ashbyhq.com/sierra/85e1d0f9-e0d5-4a82-9b30-fa4372e32872) — San Francisco, CA - [Project Manager, Real Estate Operations](https://jobs.ashbyhq.com/sierra/7bfa7b6b-ead1-461c-ae3d-21c9f92b8836) — San Francisco, CA - [Performance Marketing Manager, International](https://jobs.ashbyhq.com/sierra/cd2656a7-cabe-40ac-8cab-6d7668b3ed6b) — San Francisco, CA - [Product Manager, Agent Development (Spanish speaking)](https://jobs.ashbyhq.com/sierra/9b94e279-5869-4a33-b50f-9aa01ff61a22) — San Francisco, CA - [GTM Strategy and Operations, Industry Lead](https://jobs.ashbyhq.com/sierra/6b5027e7-6498-45d6-8548-371eda8e5a81) — San Francisco, CA - [Software Engineer, Agent - Travel & Hospitality](https://jobs.ashbyhq.com/sierra/e2d3e1f5-03cb-4e18-9f3d-a32f0bb6ff91) — San Francisco, CA - [SEO Manager](https://jobs.ashbyhq.com/sierra/b81e10f9-96cc-4e97-861b-8dc0fc5a6ddd) — San Francisco, CA - [GTM Operations, Agent Development Enablement](https://jobs.ashbyhq.com/sierra/84a9ecff-115c-452f-9f1f-1b0b142e256f) — San Francisco, CA - [GTM Operations](https://jobs.ashbyhq.com/sierra/f608f09d-fd99-4eac-978a-264e6ae99a17) — Tokyo, Japan - [Business Recruiter](https://jobs.ashbyhq.com/sierra/d9c7693d-2bc9-452a-94e8-f322366922fd) — London, United Kingdom - [Performance Marketing Manager](https://jobs.ashbyhq.com/sierra/ba29531a-f8d2-458e-b0cd-e4176e7f0799) — San Francisco, CA - [High Growth Enterprise Account Executive](https://jobs.ashbyhq.com/sierra/8da2071d-5e2f-43da-9bb1-2c7b30c078af) — San Francisco, CA - [Sales Director - Financial Services](https://jobs.ashbyhq.com/sierra/7a61fa6e-322f-40a5-9df0-a2a7b306ada5) — Remote - [Sales Director - Healthcare](https://jobs.ashbyhq.com/sierra/282771b4-9d75-4098-a660-beb4337a617c) — Remote - [Sales Director - Retail](https://jobs.ashbyhq.com/sierra/82d714bd-4908-4648-b72e-3322ad4211b6) — Remote - [Communications, Europe](https://jobs.ashbyhq.com/sierra/4a878cee-2471-472b-8762-8f9908420ade) — London, United Kingdom - [Enterprise Sales Leader - Healthcare](https://jobs.ashbyhq.com/sierra/7ffb9df7-d413-45b1-91a4-27702f26ef6d) — Remote - [Event Marketer](https://jobs.ashbyhq.com/sierra/6c3fb4c1-e6ba-4e47-8d02-93ea89e75619) — San Francisco, CA - [Partnerships Sales](https://jobs.ashbyhq.com/sierra/8ee59347-bea3-4358-93bf-ef6d93d818fb) — Tokyo, Japan - [Brand Visual Designer](https://jobs.ashbyhq.com/sierra/74f6ab38-3588-4486-b837-05ea432eac0e) — Singapore - [Sales Director - Healthcare](https://jobs.ashbyhq.com/sierra/b5ade182-e434-4f3d-9ce2-d14359036864) — Remote - [Sales Director - Retail](https://jobs.ashbyhq.com/sierra/63d41476-9621-4566-a6fa-8fde0d643836) — Remote - [Sales Director - Financial Services](https://jobs.ashbyhq.com/sierra/c52fdab2-68f2-407c-8e7a-778e77213511) — Remote - [Enterprise Sales Leader - Retail](https://jobs.ashbyhq.com/sierra/675b6dab-6f04-4d9e-a6bd-c001f2784c0b) — Remote - [Enterprise Account Executive, Benelux](https://jobs.ashbyhq.com/sierra/2e5e46fd-9444-4768-94aa-2ef2bba54618) — Paris, France - [Enterprise Account Executive, Benelux](https://jobs.ashbyhq.com/sierra/f5dc49c7-39d0-4957-9df7-b4efa54aff69) — London, United Kingdom - [Accounts Payable Analyst](https://jobs.ashbyhq.com/sierra/4385bb12-b355-4697-b839-ecfec1233f1e) — San Francisco, CA - [Accounting Lead](https://jobs.ashbyhq.com/sierra/c94ac723-75ca-49c9-9b1e-af590be4cd65) — San Francisco, CA - [Brand Visual Designer](https://jobs.ashbyhq.com/sierra/ab678265-1a53-4800-910c-9b128a7f3e81) — London, United Kingdom - [Payroll Lead](https://jobs.ashbyhq.com/sierra/1ad1c878-14c5-4d98-bc17-bd19ee0910e0) — San Francisco, CA - [Strategic Finance Lead](https://jobs.ashbyhq.com/sierra/4e68c80f-e52e-46fc-bca0-d651a19c0a72) — San Francisco, CA - [Office Manager](https://jobs.ashbyhq.com/sierra/881a233e-f80f-4a45-a40a-b9a0d6d4aa32) — Tokyo, Japan - [Commercial Counsel](https://jobs.ashbyhq.com/sierra/b61f6eb8-2485-4ba8-b569-fa26eba5a6e8) — New York, NY - [FP&A Lead](https://jobs.ashbyhq.com/sierra/a0e7b9fa-d418-4f40-a9c7-0629c3481177) — San Francisco, CA - [Software Engineer, Agent - Insurance](https://jobs.ashbyhq.com/sierra/000618f7-e0d0-43dc-ae15-2b20d948852f) — San Francisco, CA - [Software Engineer, Agent - Financial Services](https://jobs.ashbyhq.com/sierra/ab98160c-9918-483c-af74-310535448972) — San Francisco, CA - [Software Engineer, Agent - Healthcare](https://jobs.ashbyhq.com/sierra/eb3ee157-3d2a-412a-88a2-e2cfc5647a66) — San Francisco, CA - [Technical Recruiter](https://jobs.ashbyhq.com/sierra/9a630c65-af8c-461b-8fd4-b52ccb431f6f) — London, United Kingdom - [Software Engineer, Agent](https://jobs.ashbyhq.com/sierra/43e6eda7-6e46-43e8-82a5-6e5035f063bb) — Singapore - [Software Engineer, Agent (Dutch speaking)](https://jobs.ashbyhq.com/sierra/ae8840cd-f46e-4c96-87b1-53fedf40f94d) — London, United Kingdom _…and 125 more at https://feeny.ai/companies/sierra/jobs_ --- _Source: https://feeny.ai/companies/sierra · profile updated 2026-07-02_