Staff Solutions Architect
About the job
- Have 5+ years of experience in a technical, customer-facing role such as Solutions Architect, Technical Account Manager, or Implementation Engineer.
- Have experience working with hyperscalers; AWS is preferred, with hands-on experience supporting customers building on Amazon Bedrock, and Azure, GCP, or other cloud providers are also welcome.
- Demonstrate a strong understanding of and experience working with large language models, multimodal artificial intelligence, REST APIs, Python, JavaScript, and modern application development, with a deep understanding of video workflows and video workloads.
- Have experience driving customer implementations from kickoff through production launch, with a track record of building trusted technical relationships.
- Be able to translate complex technical concepts to business stakeholders and debug integration issues with engineering teams.
- Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role.
- The role may require participation in on-site interviews and/or completion of in-person onboarding processes.
- Deliver an exceptional customer experience by providing technical expertise, scoping use cases, and supporting the implementation of video AI applications with technical stakeholders at startups and enterprises.
- Own technical relationships with strategic customers, ensuring successful integrations, resolving complex technical challenges, and driving adoption across their organizations.
- Guide customers on best practices for leveraging TwelveLabs APIs to create secure, scalable, and differentiated video understanding experiences.
- Serve as the first line of defense for design, security, compliance, and architecture questions, escalating complex requirements to internal experts as needed.
- Create and maintain documentation, implementation guides, and FAQs for common customer requirements and technical challenges.
- Gather customer feedback and represent the voice of developers and enterprises to internal teams, helping shape product roadmaps and future capabilities.
- Collaborate with Sales, Product, Partnerships, and Engineering teams.
- AWS experience is preferred, including hands-on experience supporting customers building on Amazon Bedrock.
- Azure, GCP, or other cloud-provider experience is also welcome.
Who we are
Video is 90% of the world's data. Most of it is invisible to machines.
TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do — across sight, sound, and motion — and power production-scale AI workloads across media, entertainment, sports, security, and government.
We have raised more than $210 million from NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, NAVER Ventures, Korea Investment Partners, Quadrille Capital, Red Bull Ventures, and AI pioneers including Fei-Fei Li, Silvio Savarese, and Alexandr Wang.
We are a global company, headquartered in San Francisco with offices in Seoul, New York, and London, and employees around the world. We believe the differences in our cultural, educational, and life experiences make our products stronger. Building technology that understands the world in all its complexity requires people who see it from every angle. We are looking for individuals who are driven by hard problems and want their work to matter. Come build it with us!
About the Role
We're hiring a Solutions Architect to help our strategic customers unlock the full potential of video AI. Acting as the dedicated technical resource for key accounts, you'll drive solution design, implementation guidance, and the co-development of innovative applications that showcase the capabilities of our multimodal foundation models.
You'll provide expert technical guidance while collaborating with Sales, Product, Partnerships and Engineering teams.
This is a highly self-directed and creative role where you'll need to thrive in an unstructured, rapidly expanding and evolving environment.
Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.
In this role, you will
Deliver an exceptional customer experience by providing technical expertise, scoping use cases, and supporting the implementation of video AI applications with technical stakeholders at startups and enterprises.
Own technical relationships with strategic customers, ensuring successful integrations, resolving complex technical challenges, and driving adoption across their organizations.
Guide customers on best practices for leveraging TwelveLabs APIs to create secure, scalable, and differentiated video understanding experiences.
Serve as the first line of defense for design, security, compliance, and architecture questions, escalating complex requirements to internal experts as needed.
Create and maintain documentation, implementation guides, and FAQs for common customer requirements and technical challenges.
Gather customer feedback and represent the voice of developers and enterprises to internal teams, helping shape product roadmaps and future capabilities.
You may be a good fit if you have
Have 5+ years of experience in a technical, customer-facing role such as Solutions Architect, Technical Account Manager, or Implementation Engineer.
Have experience working with hyperscalers (AWS preferred, with hands-on experience supporting customers building on Amazon Bedrock; Azure, GCP, or other cloud providers also welcome).
Demonstrate a strong understanding of and experience working with LLMs, multimodal AI, REST APIs, Python, JavaScript, and modern application development, with a deep understanding of video workflows and video workloads.
Have experience driving customer implementations from kickoff through production launch, with a track record of building trusted technical relationships.
Are an exceptional communicator who can translate complex technical concepts to business stakeholders and debug integration issues with engineering teams.
Operate with high horsepower, manage multiple projects simultaneously, and thrive in a fast-changing environment with evolving priorities.
Bring a collaborative, humble attitude with an eagerness to help customers and internal teams succeed.
Even if there are a few checkboxes that aren't ticked through your prior experience, we still encourage you to apply! If you are a 0-to-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.
We welcome applicants from all walks of life and are committed to equal-opportunity employment. We cherish and celebrate diversity not just because it is the right thing to do, but because it makes our company much stronger.
Benefits and Perks
Pension (in line with company auto-enrollment obligations)
Private medical insurance
PTO - 25 days with 8 holidays (You may carry forward up to [five] days’ accrued but untaken holiday from one holiday year to the following holiday year, but such carried over holiday must be taken by [31 March] of that following holiday year or it will be lost.)
Sick Days - 5
We are reviewing our UK benefits offering. We intend to introduce further benefits, such as income protection and life insurance, at some point in the future, as we grow and expand in the UK.
If someone contacted you about this role and you’d like to verify they’re a member of our team, please email [email protected]
About the company
TwelveLabs provides an API-based platform that analyzes video content to extract key features such as actions, objects, on-screen text, speech, and people. These features are converted into vector representations to support fast, scalable semantic search across large video datasets. Developers and product managers integrate TwelveLabs’ end-to-end video understanding capabilities into their products, enabling users to search within videos quickly and precisely. The company differentiates itself by offering an end-to-end infrastructure that emphasizes speed and effectiveness compared with open-source and commercial models. The goal is to make all video content searchable and easy to interact with through API calls.
Company Size
51-200
Company Stage
Series B
Total Funding
$210.1M
Headquarters
San Francisco, California
Founded
2021
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Simplify's Take
What believers are saying
- July 2026 Series B raised $100 million from NEA, Nvidia, Amazon, and others.
- September 2026 AWS AI Competency cites Maple Leaf Sports Entertainment cutting search from 16 hours to nine minutes.
- Iconik became TwelveLabs' first Premier Tier partner, expanding distribution across media asset workflows.
What critics are saying
- AWS can bundle Marengo-like video search into Bedrock, crushing TwelveLabs pricing power by 2027.
- A July 30, 2026 Blind rumor listed 25 layoffs, signaling post-Series B execution strain.
- Media buyers can switch to Iconik, VAST, or Adobe once features commoditize.
What makes TwelveLabs unique
- Marengo and Pegasus treat video as native multimodal data, not stitched image-audio pipelines.
- TwelveLabs embeds directly in Amazon Bedrock, giving customers managed semantic search without infrastructure.
- Compliance by TwelveLabs unifies deepfake, violence, and ads review in one workflow.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Unlimited Paid Time Off
Growth & Insights and Company News
6 month growth
12%1 year growth
12%2 year growth
10%TwelveLabs has launched Pegasus 1.6, a model that converts egocentric video footage into actionable insights for physical AI applications. The technology enables robots and drones to better understand real-world environments through features including action segmentation, dense captioning, and quality scoring. The model addresses challenges in processing complex video data, improving training for robotics and AI systems by using structured human experiences. This advancement aims to make video data more valuable for teaching machines to operate in physical spaces. In related market movements, Astera Labs rose 7.6% to $389.80, whilst VeriSilicon Microelectronics fell 11.3% to CNY 171.68. Other notable AI chip stocks included Broadcom, up 3.7% at $375.81, and Nvidia, which gained 0.1% to close at $239.24.
TwelveLabs brings video understanding to physical AI with latest launch. Oct. 6, 2026, 09:30 AM SAN FRANCISCO, Oct. 06, 2026 (GLOBE NEWSWIRE) - TwelveLabs, a leading video intelligence company, today announced the release of Pegasus 1.6, which adds new capabilities for understanding and navigating complex real-world environments. This latest model enables TwelveLabs expansion into physical AI, the domain of artificial intelligence that can perceive, reason about, and act in the physical world through machines like robots, drones, autonomous vehicles, and industrial equipment. Now TwelveLabs can solve key workflow-specific challenges and unlock the full potential for physical AI. As the physical world rapidly digitalizes, physical AI teams are gathering vast amounts of complex video, but transforming raw footage into actionable model intelligence remains a critical challenge. TwelveLabs bridges this gap, automatically generating rich insights from real-world perspectives and enabling machines to see, understand, and safely interact with their environments like never before. "Our mission has always been to help machines understand how the world works through video," said Jae Lee, CEO and co-founder of TwelveLabs. "Physical AI is the next expression of that mission. Most of what people know about doing physical work, such as a changing grip, or a recovery after something slips, has never been captured in a form a machine can learn from. With our newest model release, we can now turn that footage into structured, reviewable knowledge, so robotics and physical AI teams can train on real human experience instead of starting from scratch." Notably, TwelveLabs' new Pegasus 1.6 model is the first TwelveLabs model built to understand egocentric video. Egocentric video is shot from the point of view of the person doing the work, whether that's someone cooking a meal, assembling parts on a factory line, or operating a robot remotely. Pegasus 1.6 currently supports five core workflows powered by this video-native model. They are: * Action segmentation and labeling: Accelerates model training with standardized datasets by automatically generating precise, timestamped action labels for tasks, steps, objects, and hand-object interactions from raw video, perfectly mapped to your domain-specific taxonomy. * Dense caption labeling: Enables natural language understanding for robots by producing rich, descriptive language for spatial relationships, scene context, and hand-object interactions to train advanced language-conditioned robot policies. * Quality scoring: Save time by filtering out low-quality video by automatically evaluating and scoring video clips for action clarity, framing, and stability before sending footage to human reviewers. * Search and curation: Uncover critical edge cases by effortlessly surfacing rare events, long-tail scenarios, and duplicate clips across your entire video repository using simple natural language search queries. * Consent and compliance flagging: Protect privacy and maintain compliance effortlessly by detecting and flagging faces, bystanders, and sensitive onscreen or paper data before video footage enters downstream development pipelines. Pegasus 1.6 builds on the industry-leading video understanding capabilities TwelveLabs developed for enterprises that maintain massive video libraries. The new release extends Pegasus 1.5's foundational functionality that attracted several new customers, particularly from Time-Based Metadata (TBM), which allows users to define a custom schema and automatically receive timestamped, structured metadata from video content. This is particularly useful in aiding contextual understanding, as people often narrate what they are doing in egocentric clips. Pegasus 1.6 also improved entity recognition for more consistent tracking of hands, objects, and tools across clips. The model also offers faster, more cost-efficient processing for high-volume video workloads. To learn more about Pegasus 1.6 and all that it can do for physical AI, please visit https://www.twelvelabs.io/solutions/physical-ai. To find out more about Pegasus 1.6's performance benchmarks, download its latest whitepaper here. About TwelveLabs TwelveLabs makes video one of an organization's most useful assets. The company has created a full-stack video intelligence platform, powered by its industry leading video understanding models Marengo and Pegasus, designed to see and understand video the way humans do in a fraction of the time. Developers, enterprises, and creatives can now leverage this single system that gets smarter over time to access and act on all of their video content. TwelveLabs is backed by leading investors, including Amazon, Index Ventures, Naver, NEA, and Radical Ventures. For more information, visit www.twelvelabs.io. Markets Insider and Business Insider Editorial Teams were not involved in the creation of this post. Sponsored Financial Content Reconnecting is easier in Punta Cana.Some trips are about seeing places. Others are about finding yourself. At TRS Turquesa Hotel, you get both. 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Tottenham Hotspur and San Antonio Spurs team up with ScorePlay and TwelveLabs to host the Spurs Hackathon in Austin. 06/10/2026 Hotspur Labs, Tottenham Hotspur's corporate venture programme, will co-host the Spurs Hackathon with the San Antonio Spurs, ScorePlay, and TwelveLabs on October 22-23 at the University of Texas at Austin's McCombs School of Business. The event runs alongside the McCombs Business of Sports Summit on October 23. Participants will build on ScorePlay's platform and open API and TwelveLabs' video intelligence to address content challenges set by the two clubs. Challenge areas are: an Assisted Auto-Production Engine that uses live data, social media signals, and video AI to identify and create content from game assets with producer approval; and a Rights and Compliance tool that checks assets against league and regional rules, writes verdicts and reasoning to the asset, and shows what can be used, where, and for how long. A student team from UT McCombs will compete alongside visiting teams. Winners are selected by a panel of executives from both clubs, TwelveLabs, and ScorePlay. Sports organizations are producing more content than ever, but creating it is no longer the hardest part. The harder problem is knowing which moments matter, who they matter to, where they can be used, and getting them to fans while those moments still have value, says Charlie Kurian, Director of Strategy and Innovation, San Antonio Spurs. Spurs gives us an opportunity to explore how AI can help us make more of the content we already create, working alongside Tottenham Hotspur on a challenge that increasingly matters across global sports. Hotspur Labs was built to bring Tottenham Hotspur the best ideas and companies to solve real problems, not theoretical ones. Content and rights management are exactly that for us, says Rob Pickering, Chief Technology Officer, Tottenham Hotspur. Taking Hotspur Labs to Austin shows the kind of partnerships and opportunities we want this program to create. Sports organizations have never captured more content, or had less time to use it, says Victorien Tixier, Co-Founder and CEO, ScorePlay. Spurs puts real problems from two world-class organizations in front of people who can build the answers in two days. Rights and production look like two distinct problems, but they're really two sides of the same coin: knowing what's in your content and what you're allowed to do with it, says Jesse White, Global Sports Lead, TwelveLabs. We built Spurs around both because that's what teams actually deal with, and we wanted to see what builders in Austin do when video intelligence is put directly in their hands. 05/01/2027. Worlds first 802.15.4ab-UWB chip verified by Calterah and Rohde & Schwarz to be... 09/10/2026. 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IBC 2026: TwelveLabs launches video compliance platform with NVIDIA deepfake detection. 04/09/2026 TwelveLabs has launched a video compliance platform for media organizations, incorporating NVIDIA deepfake detection capabilities alongside TwelveLabs' existing video understanding AI. The platform will be demonstrated at IBC2026. The platform combines automated content analysis across multiple compliance categories - including deepfake detection, violence, explicit content, misinformation indicators, and advertising standards - in a single workflow. NVIDIA's deepfake detection runs on TwelveLabs' video intelligence infrastructure, analyzing video frame by frame for synthetic media indicators without requiring separate processing pipelines. TwelveLabs says the system is designed for broadcast compliance teams, content moderation operations, and advertising verification workflows where manual review at scale is impractical. The volume of video content requiring compliance review has grown faster than human review capacity can scale, says Jae Lee, CEO, TwelveLabs. Our platform lets compliance teams set the parameters for what they need to catch, and the AI handles the review at scale - surfacing the content that needs human attention rather than requiring a person to watch everything. Adding NVIDIA's deepfake detection means we can now offer that same efficiency for synthetic media detection, which is becoming a compliance requirement for broadcasters and platforms. Deepfake detection is moving from a research problem to an operational requirement for media organizations, says Gerardo Donahoe, Director of Media and Entertainment, NVIDIA. Working with TwelveLabs integrates that capability directly into the video intelligence workflows broadcasters and platforms already use for content analysis, making compliance more practical at scale. 05/01/2027. 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Twelve Labs, an AI startup developing multimodal video understanding technology, has raised $100 million from Amazon and venture capital investors. The company builds AI models that can extract contextual insights from video data, enabling users to search and analyse footage using natural language rather than keywords. The startup's models are integrated into Amazon Bedrock, AWS's managed service for generative AI applications, and use Oracle Cloud Infrastructure for training. Nvidia led Twelve Labs' $50 million Series A in June 2024, with NEA and Radical Ventures participating. A December 2024 round brought in $30 million from Databricks, Snowflake, SK Telecom and HubSpot Ventures. The company has raised approximately $107 million in total funding and is positioned at the intersection of AI infrastructure and cloud computing.