Top Business Jobs at AI Startups in 2026
Tracked at 10k top companies
Our team at Simplify curated an list of the top startup company jobs for non-technical professionals. These positions range across product management, growth marketing, business operations, and strategy, catering to a diverse range of candidates. Whether you’re a recent graduate from the Class of 2024–2025, making a career switch from consulting or finance, or looking to leverage a non-engineering background to break into the AI space, this list features high-impact, paid opportunities at some of the most innovative AI companies globally.
We updated this list every few hours, showcasing only actively hiring roles at reputable firms. Each listing provides comprehensive details about the company, its tech focus (such as LLMs, computer vision, NLP), job descriptions, required skills, and work setups, be it remote, hybrid, or in-office. If you’re eager to drive growth at an AI platform or make pivotal product decisions within a generative AI company, these positions are tailored for ambitious, non-technical professionals looking to shape the future of artificial intelligence.
The startup vacancies encompass areas like generative AI, LLMs, NLP platforms, and AI tooling startups, supported by leading investors such as Sequoia, a16z, Index Ventures, and Y Combinator. Positions include titles like Product Manager, Growth Marketer, BizOps Associate, Customer Success Manager, and Operations Lead. Responsibilities may involve crafting go-to-market (GTM) strategies, conducting user research, customer segmentation, analytics, A/B testing, and fostering cross-functional collaboration. Most roles prioritize analytical thinking and strong communication skills over coding expertise, with a familiarity in SQL, Excel, and basic data interpretation being advantageous but not essential.
- today
DatabricksExpertStaff Product Operations ManagerBengaluru, India---today - 3d
AnthropicSeniorTechnical Program Manager - Data Center Infrastructure$365k - $435kSeattle, WA$365k - $435k3d - 3d
EtchedSeniorPlatform Operations LeadSan Jose, CA---3d - 3d
OpenAISeniorStartup Content Marketer$227k - $252kSan Francisco, CA$227k - $252k3d - 3dOpenAIMid LevelStartup Field Marketer$227k - $252kSan Francisco, CA$227k - $252k3d
- 3dOpenAISeniorEnterprise 3P Field Events Lead$227k - $252kSan Francisco, CA$227k - $252k3d
- 4d
Scale AISeniorEngagement Manager - Public Sector$191.2k - $291kWashington, DC$191.2k - $291k4d - 4d
Fireworks AISeniorSenior Field Marketing Manager$230k - $250kSan Mateo, CA$230k - $250k4d - 4dFireworks AISeniorField Marketing Manager - Startups$210k - $230kSan Mateo, CA$210k - $230k4d
- 4d
Snorkel AIMid LevelProduct Marketing Manager$132k - $240kSan Francisco, CA$132k - $240k4d - 4dSnorkel AIMid LevelProduct Marketing Manager - Frontier Labs$132k - $240kSan Francisco, CA$132k - $240k4d
- 4dSnorkel AISeniorOperations Manager - Enterprise AI Solutions$100k - $140kSan Carlos, CA$100k - $140k4d
- 4dAnthropicExpertProduct Manager - API Growth$305k - $385kSeattle, WA$305k - $385k4d
- 4dAnthropicSeniorProduct Manager - Multi-Cloud Growth - Google$305k - $385kSan Francisco, CA$305k - $385k4d
- 4dOpenAIExpertM&A Integration Lead$333k - $370kSan Francisco, CA$333k - $370k4d
Explore our FAQ section to learn more.
Yes, many AI startups need strong generalists, operators, PMs, and GTM folks. But you’ll need to show curiosity and the ability to translate technical outputs into business value. You don’t need to build models, but you should understand what they do, how they fail, and who they help.
Start by playing with public AI tools, build a Notion summary generator, write prompts, compare models. Read company blogs (like OpenAI, Anthropic, or Perplexity) and ask dumb questions early. On the job, shadow engineering and data teams, document workflows, and learn from customer edge cases, that’s where non-technical teammates shine.
Founders often drive early product, but good operators create space by handling customer feedback, writing PRDs, managing beta users, or shaping experiments. Focus on product process, not product vision. Help translate loose ideas into ship-ready specs. You won’t own the roadmap, but you’ll earn trust by making things real.
Early-stage roles often blend functions, think GTM + ops, or product + CX. Common titles include Product Ops, BizOps, Chief of Staff, PM, and Sales/Partnerships. Many companies look for people who can wear multiple hats and build early processes around product feedback, user onboarding, and experimentation.
Do a teardown of the product, write a memo about a use case, or analyze where the company could expand. Don’t say you 'love AI', show how you’d help them grow. Startups look for operators who’ve already done the homework, not generalists hoping to 'learn on the job.'
Over-indexing on interest, under-delivering on substance. Saying 'I'm passionate about AI' doesn’t mean much if you haven’t explored the product or users. Also, avoiding technical conversations entirely is a mistake, AI startups respect business folks who ask questions, stay curious, and engage with engineers.
