Full-Time
Runs global short-video platforms with ads
No salary listed
Company Does Not Provide H1B Sponsorship
Seattle, WA, USA
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ByteDance runs a global family of content platforms, including Toutiao, Douyin, TikTok, Helo, and Lark, that inform, entertain, and inspire users across many languages and regions. Each platform surfaces user-generated content through a recommendation algorithm that personalizes feeds to keep people engaged. It primarily earns money from advertising, with additional income from in-app purchases and partnerships. The company stands out by offering multiple products with strong short-form video focus and global localization to reach diverse audiences, aiming to grow users and sustain advertising-driven revenue.
Company Size
10,001+
Company Stage
Private
Total Funding
$5.5B
Headquarters
Haidian, China
Founded
2012
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Reimagining compliance training: why "take this or else" Doesn't work anymore. Let's be honest about compliance training for a second. When you say those two words to just about anyone in an organization, including learning professionals, you get some version of the same reaction: a groan, an eye roll, maybe a resigned "oh, that." It's become the necessary evil of L&D. Something you check off, not something you actually think about. And yet, no other learning program touches as many people or covers as much ground. Compliance training reaches nearly every employee in nearly every organization and it spans an enormous range, from a fairly benign walkthrough of the employee handbook all the way to life-and-death procedures depending on your industry. The stakes vary, but they're never really low. Get it wrong and, depending on the situation, you're looking at anything from a formal warning to fines in the millions to the actual inability to operate your business. Here's the paradox we're stuck with: This is one of the most universal, highest-stakes categories of learning in the entire organization and it's also the one we've been the least willing to touch. While the rest of L&D has spent the last several years getting more learner-centric, more strategic, more tied to real outcomes, compliance training has largely just... stayed put. Check the box. Get it done. Move on. It doesn't have to be this way. Here's the thing: People don't learn differently because the content happens to be regulatory in nature. The fact that something is compliance-related doesn't mean the neuroscience of how people absorb, retain and apply information suddenly works differently. So, there's no real excuse for treating it differently in terms of design. That means bringing in the same things we already value everywhere else in learning: multiple modes of delivery, interactive formats and a genuine reliance on how people actually think, remember and apply what they've learned. That also means finally letting go of completion as the measure of success. For years we've talked about moving away from "did everyone finish it" as the metric for learning broadly and we've made real progress there; except in compliance, where completion is often still treated as the finish line. It's time to shift that mindset. It can't just be about finishing. It has to be about improving performance. Strategy, content, technology and how we measure all of it need to be realigned around actual business needs, even for content that feels mundane on the surface. Because here's the truth: even the most boring-seeming compliance topic exists for a real business reason. The framing just can't be "take this training or else." That approach has run its course. To be fair, we'll never get away from this completely. Some compliance training is dictated wholesale by a government agency or third-party regulator and there's only so much creative license you have there. But for everything else, and that's most of it, there's no reason we can't take a fundamentally different approach. What good actually looks like. I want to share a few examples pulled from our Excellence Awards library, because they make the case far better than I can in the abstract. ByteDance (TikTok) partnered with Siyona Tech to build a gamified privacy compliance program called PrivacyFlix - yes, styled after Netflix - and rolled it out in seasons. Season one covered things like data retention and protections for young users; season two moved into data security and AI governance. Instead of dumping everything on employees at once, they released it as an ongoing experience, complete with diverse narrative styles (a Wild West movie trailer among them), badges for progress and a design that worked seamlessly across desktop, laptop and tablet so people could move between devices without losing their place. The results back it up: 97.3% of surveyed employees reported measurable knowledge gain, satisfaction scores hit 4.6 out of 5, genuinely outstanding for compliance training, and the company saw a real cultural shift, with employees treating privacy as part of the culture rather than a box to check, along with reduced exposure to regulatory fines and reputational risk. FanDuel, working with Labyrinth Training, took a character-driven approach to anti-money laundering training, content that's often mandated and can feel dry by nature. Rather than static PDFs, they built relatable, retail-sportsbook-style scenarios and created a persistent universe of recurring characters that showed up across their anti-money laundering, anti-bribery and privacy programs, almost like a Marvel Cinematic Universe for compliance. Their Director of Financial Crimes Compliance noted that employees started asking who the characters were based on; a sign people were actually paying attention, not just clicking through. The company's own framing captures it well: Story beats obligation. Compliance training shifted from something people dreaded to something people actually talked about with each other. Blue Cross Blue Shield of North Carolina, partnering with Aptara, took a different route. Back in 2023, they realized their attempts to gamify training had become overly complex and were eating up too much seat time, so they stripped things down and leaned into microlearning: a format that, for years, compliance professionals insisted couldn't work ("people need to sit for 12 hours to be in compliance"). A standout piece was their "test me" pathway: a pre-assessment that diagnosed what employees already knew so they weren't forced through redundant content. That single move cut down on wasted time significantly and made the experience feel far more respectful of people's time. They also built hands-on scenarios around AI and data privacy risk, phishing identification and industry-specific issues like data destruction protocols, letting people practice judgment rather than just reading rules. Nordea, working with InfoPro Learning, focused on Infosec training and reported some of the clearest financial outcomes of the bunch: more than $300,000 saved through design and process streamlining, another $240,000 saved through reduced seat time and nearly $70,000 saved by focusing content more precisely on what people actually needed. On top of that, year-over-year NPS improved and IT tickets related to security issues dropped by more than 50%. The program was highly modular, localized into four Nordic languages and built around real-world decision loops and AI-assisted character storytelling; something that's become far more feasible now that AI can handle branching narrative logic that used to require building every path by hand. None of these organizations lost sight of the regulatory requirement. They just refused to stop there. Five strategies worth stealing. Pulling from these examples and our broader research, a few high-level strategies stand out for anyone looking to rebuild their approach: * Provide context. Explain why the training matters to the business and to the individual; not just that it's required. * Use a wider variety of tools and modalities. Click-through PowerPoints alone don't work anymore, if they ever really did. * Lean on neuroscience and cognitive science, the same way you would for any other learning program. * Recognize achievement. Completing compliance training shouldn't just mean avoiding a stern email. Genuinely acknowledge people for getting it done. * Measure a variety of outcomes, not just completion rates. That last point is worth sitting with. In our research, we asked companies a simple question: is your compliance training effective at meeting your organization's needs? When we looked at how the "yes" group and the "not really" group measure success, the differences were telling. Companies that say their compliance training is *not* effective tend to lean almost entirely on less strategic measures: Did we meet regulatory requirements, do we have a safe work environment, are we mitigating risk? Important, but not exactly ambitious. Companies that say their training *is* effective are far more likely to also track strategic outcomes: business performance, employee development, corporate citizenship, becoming an employer of choice. They're not just trying to stay out of trouble; they're using compliance training as a genuine extension of their learning strategy and their culture. The bottom line. It really is possible to reimagine almost all of compliance training; not despite the regulatory pressure, but alongside it. The organizations that are getting this right aren't ignoring their compliance obligations. They're just refusing to let "we have to" be the whole story. They're asking what outcomes actually matter, applying the same design thinking they'd apply to any other learning program and treating the people going through the training like people, not boxes to check. The regulatory requirement isn't going away. But the gap between "we're in compliance" and "our people actually understand and act on this every day" is exactly the space where the real work happens. That's where the opportunity is. Like what you see? Share with a friend.
TikTok parent company ByteDance to launch ai-powered creator platform in Kenya. * by Joseph Ogungo on Wednesday, 15 July 2026 - 11:58 am A photo collage of TikTok logo (right) and President William Ruto addressing the media at State House on August 21, 2023. Kenyan content creators are set for new opportunities after ByteDance, the parent company of TikTok, announced it will launch a new creator platform in Kenya. The announcement was made by ICT and Digital Economy Cabinet Secretary William Kabogo on Wednesday, July 15, during a visit to Beijing, China. According to Kabogo, Volcano Engine, the cloud computing and artificial intelligence arm of ByteDance, has partnered with a local Kenyan firm to launch the new platform. The platform, called Tazama, will be based in Kenya, giving content creators access to artificial intelligence tools, localisation support, and payment systems to help them monetise their content and reach audiences in China and other international markets. ICT CS William Kabogo (standing center) during the signing of an MoU by ByteDance and a private company to establish a new platform in Kenya on July 15, 2026 "The firm and Volcano Engine, ByteDance's cloud and AI arm (the company behind TikTok), will base the creator platform Tazama here in Kenya, giving our young people the AI tools, localisation support and payment systems to earn from their talent and reach China and other global markets from home," Kabogo stated. The CS noted that the initiative is expected to position Kenya as a regional hub for digital content creation while opening opportunities for creators across Africa. He further explained that the partnership will not only enable Kenyan creators to access China's digital market of more than one billion users but will also promote African stories, music and creative content to new global audiences. "It is a genuine cultural exchange. Just as our creators gain access to global platforms, African stories, music and content will reach audiences in China," Kabogo added. The platform will support African-language content, beginning with Kiswahili, allowing creators to produce content in local languages while expanding their global reach. It will also provide new income opportunities to thousands of content creators, especially youth, who have recently shifted to content creation as a source of income. According to recent data, the digital space is highly commercialised, with total payouts to Kenyan creators surpassing Ksh1 billion. Besides creating new income opportunities for creators, the government expects the partnership to boost digital tourism by showcasing Kenya's landscapes, culture, and heritage to audiences worldwide. The partnership comes as the government steps up efforts to position Kenya as a leading digital and innovation hub in Africa by attracting global technology firms and expanding opportunities for the country's growing creator economy. Shou Zi Chew
China moves to bolster youth employment for the AI era. Xinhua 07 Jul 2026, 18:16 GMT+10 BEIJING, July 7 (Xinhua) - This was a livestream like no other! Instead of social media influencers, it featured HR managers from China's top tech giants like JD.com, Baidu and Alibaba stepping into the spotlight to unveil exclusive job openings, tackle burning questions about salaries and career growth, and even take viewers on virtual office tours. To top it off, young jobseekers received real-time career advice straight from employment counselors. This event in June was part of a month-long online recruitment campaign launched by China's Ministry of Human Resources and Social Security, which brought together more than 5,000 internet companies and offered over 200,000 job vacancies. "The livestream recruitment helps bridge the information gap between employers and jobseekers, making it easier for us to find positions that truly match our skills," said Liu Weicai, a graduating student from the University of Science and Technology Beijing. JD.com alone announced 25,000 openings across technology and sales. Tencent plans to recruit more than 8,000 people, covering artificial intelligence (AI) algorithms and high-performance computing. ByteDance is hiring about 7,000 for positions related to large language models and AI search, among other areas. The virtual job fair reflects a profound transformation that is unfolding in China's employment market. Currently, the employment pressure remains high in China, with 12.7 million college graduates set to join the workforce this year. Meanwhile, rapid advances in technologies and the digital economy have reshaped labor demand, reducing the need for some traditional positions while creating a growing number of new occupations that require higher skills. To meet these challenges head-on, China is rolling out targeted employment support and revamping college majors to empower young people to thrive in an ever-evolving labor market. The central government recently launched a nationwide employment support campaign from July through December to provide career counseling, job matching, vocational training and internship opportunities for college graduates and other young jobseekers. Local authorities and universities are also stepping up efforts. In east China's Jiangsu Province, authorities have established personalized assistance plans for more than 23,000 graduates facing employment difficulties. In Beijing, representatives from 56 universities and more than 100 companies gathered in June to strengthen cooperation in graduate recruitment, internship programs and joint talent cultivation. During the event, Zhao Yutong, a postgraduate student at Minzu University of China, visited company production lines and research facilities. "I realized the gap between what we learn in classrooms and what companies actually need. It gave me a much clearer understanding of my own career development," said Zhao. In addition to near-term employment support, China is also reshaping how it trains the next generation of workers. According to a report by MyCOS, a higher education consulting firm, electrical engineering, automation, and new energy science and engineering were among the most sought-after undergraduate majors on the job market this year. These disciplines closely align with China's expanding industrial chains and accelerating technological innovation, the report said. To better match the changing industrial demand, the Ministry of Education in April added 38 new undergraduate majors, ranging from energy science and engineering and agricultural robotics to frontier fields such as bio-manufacturing and brain-computer science and technology. Beyond creating new majors, China has also introduced more flexible learning models that respond faster to technological advances and shifting industry needs. At Xi'an University of Science and Technology, mining engineering student Guo Haifeng completed a "micro-major" in intelligent monitoring technologies for high-pressure mining, combining traditional mining engineering with AI and big data applications. "The program broadened my skill set, allowing me to combine traditional mining engineering with intelligent technologies," Guo said, adding that the experience helped him secure his ideal job. The Ministry of Education launched in 2025 an initiative to establish 1,000 micro-majors and 1,000 vocational skills training courses to equip students with industry-oriented skills, which has benefited more than 1 million students so far. This year, additional micro-majors focusing on AI, the low-altitude economy and intelligent connected vehicles have been introduced. Beyond the education policies, China has stepped up top-level planning to ensure that talent development is better aligned with real-world needs. The State Council in June unveiled a five-year plan dedicated specifically to employment. The plan highlighted employment as a top priority, calling for coordinated macro policies and better adaptation to the age of AI. As technology keeps reshaping the economy and employment, a proactive response to the changes will help align the employment environment, job supply and workers' skills with the direction of technological development, said Zhao Zhong, dean of the School of Labor and Human Resources at Renmin University of China. Experts expect the country will continue to bolster economic development and foster stronger synergy between industrial development and employment in a bid to create more sustainable job opportunities.
Seedance 2.5 preview: what ByteDance just showed at FORCE 2026. Vioevo checked the official Seed pages and the first wave of conference coverage. Here's what is actually known, what multiple reports agree on, and what still needs a public model card before anyone should treat it as settled. The short version. Seedance 2.5 was previewed by ByteDance at the FORCE 2026 conference on June 23, 2026. The most consistent reporting says the model is targeting an early July 2026 public release, with three headline changes: * 30-second native video generation in a single pass * Up to 50 multimodal reference inputs * More controllable editing, including local changes without rebuilding the whole clip If you want the current production baseline, Seedance 2.0 is still the model to compare against. At the same time, the official Seed model page still points to the public Seedance 2.0 page still describes the current generation as a 2.0 model. That means Seedance 2.5 should be treated as a previewed next step, not a generally available model with a full public spec sheet yet. That distinction matters. A lot. What was actually announced. The first thing to get right is the status of the news. This was not a vague rumor from social media. Multiple reporting outlets independently described the same ByteDance FORCE 2026 announcement: * The Decoder said Seedance 2.5 is the centerpiece of ByteDance's conference release and noted the early July target. * CNET also covered the announcement as a new Seedance 2.5 video model introduction. What Vioevo can say with confidence is this: * ByteDance used FORCE 2026 to preview Seedance 2.5. * The company is framing it as a production-oriented upgrade, not a cosmetic refresh. * The public launch is expected in early July 2026, but the model is not broadly public at the time of writing. What Vioevo should not say yet: * That every feature is already locked by a public technical report * That the exact input mix is fully documented * That pricing, access scope, or API shape have been finalized Those details may arrive with the official launch. Right now, they are still moving pieces. Why 30 seconds matters. The headline number is not just a marketing flourish. The Seedance 2.0 model guide describes a model built around strong motion stability, audio-video joint generation, and a director-like workflow. The current 2.0 page still emphasizes those capabilities, but the most visible practical limit has been the clip length. A jump from 15 seconds to 30 seconds changes the workflow in a real way. * fewer stitched clips * fewer continuity breaks * fewer opportunities for camera logic to fall apart * less time spent repairing transitions in post That is especially important for ad work, product scenes, story-driven shorts, and any sequence where a beginning, middle, and end need to live inside one generation instead of across three separate ones. If the reporting holds, Seedance 2.5 is not just "longer." It is long enough to let the model carry a more complete beat. The 50-reference jump. The second major change is the input budget. Conference recaps consistently point to up to 50 multimodal references. That is a large jump from the earlier Seedance 2.0 framing, which focused on a much smaller set of references in public coverage. Why this matters: * More reference inputs usually mean stronger character consistency. * More assets make it easier to lock down costume, environment, composition, and brand language in one run. * More reference slots can reduce the need to over-explain the prompt, which is useful when a scene depends on many small constraints. The cautious part: different recaps describe the reference mix a little differently. Some mention images, audio, text, and additional assets; others summarize it simply as "50 multimodal references." I would treat the count as the stable claim and avoid over-specifying the exact asset taxonomy until ByteDance publishes the official model page. That is the more rigorous reading. Editing looks more serious too. Another consistent theme in the launch coverage is controllable editing. The reporting does not describe a simple "regenerate the whole thing and hope for the best" workflow. Instead, it suggests Seedance 2.5 can preserve the original motion, lighting, and overall look while changing a character or adjusting part of the shot. That is a meaningful production shift. For a creator, the value is not just "the model can edit." The value is that the edit may preserve the parts you do not want to lose: * camera movement * lighting direction * motion continuity * scene style If that holds in the public release, it pushes Seedance closer to a real production tool and further away from a one-shot novelty generator. Seedance 2.0 vs. Seedance 2.5. Here is the cleanest way to think about the jump. | Capability | Seedance 2.0 | Seedance 2.5 preview | | Native clip length | 15 seconds in public launch coverage | 30 seconds, according to conference reports | | Reference inputs | Multi-modal reference workflow, but smaller practical ceiling | Up to 50 multimodal references, according to reports | | Editing | Strong reference and editing support | More controlled local editing, according to reports | | Resolution | Official site still points to 2.0; reports now say 2.0 has native 4K | Not yet fully documented on a public model page | | Public availability | Available in current product surfaces | Expected in early July 2026 | The most important thing is not that every box got bigger. It is that the workflow got less fragmented. Seedance 2.0 already made a strong case for realism and controllability. Seedance 2.5 appears to be extending that strength into a longer, more composable shot structure. What is still unclear. This is the section I would keep an eye on before anyone builds a production pipeline around the preview. 1. Is the 30-second claim native, or does it hide internal stitching? The reporting says single-pass output, which is the important part. But until ByteDance publishes the model card, Vioevo should wait for the exact wording and test results. 2. What exactly counts as a "multimodal reference"? The public recap language is not perfectly uniform. Some reports mention text, images, and audio; others mention additional asset types. The number is the solid part for now. 3. What will the official API and pricing look like? No public launch documentation has been posted yet in the sources I checked. For production planning, pricing and availability matter as much as capability. 4. Does the native 4K story belong to 2.5, 2.0, or both? One conference recap says Seedance 2.0 now supports native 4K with 10-bit color depth. Another Chinese report says the 2.0 line has been upgraded to native 4K. The public Seed pages still lag behind those claims, so I would wait for the official release note before treating the 4K boundary as fully settled. That last point is the kind of detail that often gets blurred in launch-week coverage. It should not be blurred. Why this release matters. The broader signal is easy to miss if you only look at the feature list. ByteDance is clearly pushing Seedance toward production workflows, not just demo clips. The public reporting around FORCE 2026 ties the model to longer scenes, tighter control, and more reusable reference-driven generation. That direction matters for: * advertising * short drama * product storytelling * previs and storyboarding * industrial and enterprise content workflows It also lines up with the kind of use cases that need a model to stay coherent across many constraints instead of only looking good on a single frame. If Seedance 2.0 was the moment ByteDance proved it could make video that looked convincingly real, Seedance 2.5 looks like the moment it is trying to make that realism easier to direct. Its take. Seedance 2.5 does not look like a minor point release. If the conference reporting holds up, the upgrade is about three things that matter in actual production: * longer native clips * more reference control * more useful editing after generation That combination is more valuable than a one-line "quality improved" claim, because it changes how people will work with the model. Vioevo is still in preview territory, though. Until ByteDance publishes the official model card or launch documentation, the safest way to describe Seedance 2.5 is: a confirmed preview, a likely early-July release, and a meaningful workflow upgrade that still needs a public spec sheet. That is the honest version. Frequently asked questions. Is Seedance 2.5 available now? Not broadly, based on the sources I checked. The model was previewed at FORCE 2026 on June 23, 2026, and several reports say public availability is expected in early July 2026. What are the biggest confirmed changes? The most consistent claims are 30-second native generation, up to 50 multimodal references, and more controllable editing. Does Seedance 2.5 replace Seedance 2.0? Not yet. The official Seed pages I checked still present Seedance 2.0 as the public model line, so 2.5 should be treated as the next step, not a completed replacement. Has ByteDance published a full technical report? I did not find a public model card or technical report for Seedance 2.5 in the official sources I checked. That may change at launch. Should production teams wait for 2.5? If you need something today, use the current Seedance 2.0 line. If you can wait and your workflow benefits from longer clips and heavier reference control, 2.5 is the release to watch. Seedance 2.5 looks like the first Seedance update that is really trying to remove the "short clip" ceiling. Until the official launch page lands, Seedance 2.0 remains the model you can actually use today.
Seedance 2.5: the 30-second 4K model coming in July (and why 2.0 is already worth using). The model everyone's asking about isn't out yet. If you've seen "Seedance 2.5" trending this week and gone looking for where to try it, here's the honest answer: you can't yet. ByteDance previewed Seedance 2.5 at its June 2026 Force conference, and a public launch is expected in early July 2026. Right now it's in closed and enterprise beta. That matters, because a lot of the breathless "Seedance 2.5 is here" coverage is jumping the gun. So let's separate what's actually confirmed about 2.5 from what you can use today - which is Seedance 2.0, and it's already very good. What Seedance 2.5 brings (previewed, launching July). Based on ByteDance's own preview, the headline upgrades are about length and control - the two things that separate "cool clip" from "usable production asset": * A native 30-second clip in a single pass. No stitching, no extension passes. If that holds up, it's a genuine leap - most models top out around 5-10 seconds and force you to chain shots. * 4K output. A real resolution jump for delivery-grade work. * Up to 50 multimodal references - images, video, and audio fed into one generation to steer it. That's a serious answer to the consistency problem. * Localized editing - change a region of a clip without regenerating the whole thing - plus 3D blockout input to pre-stage camera and composition. If those land as previewed, 2.5 isn't an incremental bump - it's aimed squarely at the parts of AI video that still break in production. Aivideos'll put it through real briefs the moment it's public. Seedance 2.0 is the one you can use today. Here's what gets lost in the 2.5 hype: Seedance 2.0 is currently the #1 model on the Artificial Analysis leaderboard, and you can generate with it right now. It's the strongest narrative-driven model available today - multi-shot coherence and synchronized audio in a single pass, which is exactly what most "AI video that actually tells a story" work needs. You don't need to wait for 2.5 to get value from Seedance. Aivideos has already wired Seedance 2.0 into its studio - generate with it on demand, no subscription, and own the output. For continuity-heavy work it slots in right next to the tools Aivideos cover in its Runway vs Kling comparison. Where Seedance fits after Sora. This is the bigger story. With Sora shutting down (app gone, API ending September), the creators who built workflows on it are migrating - and the consensus landing spots are Seedance 2.0 for commercial and consistency work and Veo 3.1 for the realism ceiling Sora was known for. Aivideos reviewed the audio-native realism angle in its Veo 3 review. In other words, if you're a displaced Sora user, Seedance 2.0 is one of the two tools worth trying first - today, not in July. Should you wait for 2.5? For most work, no. Start with Seedance 2.0 now; it's the current leader and it's available. Reserve judgement on 2.5 until it's public and tested - previewed specs are marketing until a real brief proves them. The smart play is to get fluent on 2.0's strengths now, so that when 2.5's longer, higher-res generations land in early July, you already know how to direct the model. If managing any of this yourself isn't how you want to spend your time, that's what Aivideos is here for - Aivideos run the full model stack daily, across Europe, the UK and the US. Hand Aivideos a brief and Aivideos'll pick the right model for the shot. See its production services or browse the gallery. Try Seedance 2.0 now. You can generate with Seedance 2.0 - alongside Kling, Veo, and more - in its studio today, on credits, no subscription. And the moment Seedance 2.5 goes public in July, it'll be there too. Tell Aivideos what you're making and Aivideos'll help you get the most out of it.