Summer 2026
AI Automation Engineer Co-op
Later
1,001-5,000 employees
Social media management and influencer marketing
Compensation Overview
$23.08/hr
Vancouver, BC, Canada
Remote
Remote within Canada; must be eligible to work in Canada.
 Software Engineering (1) |
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- Currently enrolled in a Computer Science, Software Engineering, Data Science, or related program, or equivalent practical experience.
- Some experience building with code (Python, JavaScript, C# or similar) and comfort picking up new tools quickly.
- Curiosity about AI and automation: you've experimented with LLMs, prompt design, or no-code tools and want to go deeper.
- A bias toward action: you'd rather ship something imperfect and learn from it than wait for a perfect plan.
- Strong written and verbal communication skills, you can explain a technical idea to someone who doesn't code.
- Comfort with ambiguity: you can make progress on a loosely defined problem without needing every detail up front.
- Familiarity with APIs, scripting, or automation tools (Zapier, Make, n8n, or similar) is a bonus.
- Any experience with data: pulling it, cleaning it, and reasoning about what it means, is a plus.
- Shadow and interview non-technical stakeholders across Operations, Finance, Marketing, and Customer Success to understand their day-to-day workflows.
- Help identify repetitive, manual tasks that are strong candidates for automation.
- Contribute to translating fuzzy workflow problems into clear, scoped technical solutions with guidance from the team.
- Build working automations and internal tools using AI-native platforms, APIs, and no-code and low-code tools.
- Ship v1 prototypes quickly so stakeholders can validate value before investment grows.
- Wire together LLMs, agents, and prompt design patterns with existing systems to deliver real workflow outcomes.
- Iterate on automations based on stakeholder feedback and real-world use.
- Write clear documentation so automations can run unattended and teammates can understand what was built.
- Contribute to error handling and basic monitoring so automations recover gracefully.
- Help maintain a library of reusable templates, prompt patterns, and integration examples.
- Support working sessions and lightweight training that helps non-technical colleagues understand and use the automations you build.
- Collaborate with engineers, operations teammates, and other stakeholders to deliver solutions that work in practice.
- Share what you learn openly, contributing to Later's growing citizen-developer community.
Later offers a suite of social media tools for marketers, brands, and influencers, including Later Social Media Management, Later Influence, and Later Link in Bio. It works by providing planning, scheduling, and analysis for posts; automating influencer campaigns with ROI tracking; and routing traffic from a single bio link to multiple destinations, all through subscription plans. It differentiates itself by combining influencer marketing, social media management, and link optimization with real-time ROI insights and expert services for large brands. Its goal is to help marketers achieve predictable, measurable returns from social media and build the first Social Revenue platform.
Company Size
1,001-5,000
Company Stage
Seed
Total Funding
$3.8M
Headquarters
Vancouver, Canada
Founded
2014
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Simplify's Take
What believers are saying
- Q1 2026 enterprise revenue grew over 100%, driven by Fortune 500 consolidation.
- April 2026 launched Later 360; February 2026 launched Creator AEO for AI search.
- June 2026 added Sofia Hernandez, Dena Upton, and Mohsin Hussain, signaling scale.
What critics are saying
- Meta and TikTok control APIs, ranking, and ad products; one policy shift breaks reporting.
- Aspire, GRIN, Modash, and CreatorIQ commoditize creator software, forcing pricing pressure by 2027.
- If AI search platforms bypass social links, Later's attribution layer gets disintermediated.
What makes Later unique
- Later unifies social scheduling, influencer CRM, and affiliate reporting in one enterprise suite.
- Its $2.9 billion verified influencer-driven purchases dataset powers Later 360 and Creator AEO.
- Deep Meta, TikTok, X, LinkedIn, YouTube, and Pinterest integrations lock in cross-platform workflows.
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Benefits
Hybrid work environment
Education & conference budget
Wellness spending account
Flexible hours & work schedule
Technology bonus
Annual company retreat
Vacation & wellness days
Parental leave top-up
Learning & development workshops
Stock options
Company News
TimeToPost vs Buffer vs Later: the only scheduler with a native MCP server for AI agents (brand comparison, zero competitors own this angle). TimeToPost Team July 11, 2026 TL;DR: This article compares TimeToPost, Buffer, and Later, highlighting TimeToPost's unique feature of a native MCP server for AI agents, which enhances social media management efficiency. TL;DR. Social media scheduling tools are essential in digital marketing. They help brands manage their online presence, streamline content posting, and analyze engagement metrics. With many options available, finding a tool that meets your needs and offers unique advantages is crucial. This comparison focuses on TimeToPost, Buffer, and Later, highlighting TimeToPost's impressive native MCP server for AI agents. What is a Native MCP Server and why it matters. A native MCP (Multi-Channel Processing) server is designed to handle multiple communication channels simultaneously. For social media management, this translates into a powerful tool that enhances AI agents' performance. By utilizing a native MCP server, AI agents process data from various platforms more efficiently, leading to better automation, quicker responses, and more accurate analytics. TimeToPost excels in this area, providing functionality that competitors like Buffer and Later cannot match. TimeToPost: features and benefits. TimeToPost is not just another scheduler; it features a native MCP server for AI agents. This allows users to automate posting across multiple platforms while leveraging AI-driven insights. The intuitive user interface makes navigation easy, even for those less tech-savvy. In addition to scheduling, TimeToPost offers robust analytics tools that provide insights into post performance, audience engagement, and optimal posting times. What truly sets it apart is its AI integration, which suggests content and posting strategies based on historical data and current trends. If you want a social media tool that collaborates with you, TimeToPost is worth considering. Buffer: features and benefits. Buffer has been a staple in social media scheduling for years. Known for its user-friendly interface and straightforward scheduling capabilities, it allows users to plan and publish posts across various platforms easily. Its analytics feature is solid, offering insights into what works and what doesn't. However, it falls short compared to TimeToPost in AI integration. While Buffer provides basic automation, it lacks the advanced capabilities of a native MCP server, meaning you might miss out on intelligent recommendations and efficiencies that TimeToPost offers. Later: features and benefits. Later is popular among visual content creators due to its stunning visual content calendar and media library. It allows users to visually plan and schedule posts, helping maintain a cohesive aesthetic across social media platforms. Later also provides analytics to track performance, but like Buffer, it lacks the sophisticated AI support that TimeToPost offers. If you focus on visual content and need a tool for curation and scheduling, Later might be your best bet. However, if AI integration and multi-channel processing are priorities, you may want to explore other options. Comparative analysis table. | Feature | TimeToPost | Buffer | Later | | Native MCP Server | Yes | No | No | | User Interface | Intuitive | User-friendly | Visual-centric | | Analytics | Comprehensive | Solid | Good | | AI Capabilities | Advanced | Basic | Basic | | Pricing | Competitive | Affordable | Variable | Conclusion: choosing the right scheduler for your needs. In the realm of social media scheduling tools, TimeToPost has carved out a unique niche with its native MCP server for AI agents. This feature enhances automation and equips users with intelligent insights that can significantly improve social media strategies. Buffer and Later are excellent tools in their own rights, especially for specific needs like visual content scheduling or a simpler user experience. Ultimately, the choice comes down to what you value most in a scheduling tool. If you seek cutting-edge AI capabilities and multi-channel processing, TimeToPost is the ideal choice. Faq. An MCP server manages multiple channels simultaneously, allowing AI agents to process data more efficiently. This enhances automation, response times, and analytics accuracy. Can I use TimeToPost, Buffer, or Later for free? All three tools offer free trials or plans, but these may come with limitations, such as restricted features or the number of posts you can schedule. Which scheduler is best for small businesses? For small businesses, the best choice depends on specific needs. TimeToPost is great for those looking for advanced AI features, while Buffer might suit those needing straightforward scheduling. AI enhances social media management by providing intelligent content recommendations, optimizing posting times, and analyzing engagement metrics more accurately. Are there any alternatives to TimeToPost, Buffer, or Later? Yes, there are other scheduling tools available, but none offer the same unique angle of a native MCP server for AI agents as TimeToPost does.
Later, an influencer marketing company, has appointed Sofia Hernandez, former global head of marketing and partnerships at TikTok, to its Board of Directors. Hernandez brings 20 years of marketing experience, including helping build TikTok's commercial partnerships and product marketing during its rapid growth phase. The appointment comes as Later reports strong performance, having recently surpassed $2.9 billion in verified influencer-driven purchases and achieving record enterprise client growth. The company has also launched creator AEO, an Answer Engine Optimization tool designed to improve brand visibility across AI-powered search platforms. Later's AI-powered technology leverages data from billions of social interactions and integrations with Meta and TikTok. The company serves global brands including Nike, Southwest Airlines and Unilever.
Later adds Dena Upton as Chief People Officer to drive continued scale and AI innovation. June 11, 2026 1 min. read New executive hire reinforces Later's investment in building the creator economy's best workplace as the company sees accelerated growth. Later, the world's most intelligent influencer marketing company, appointed Dena Upton as Chief People Officer, continuing to build out its strong executive leadership team. Dena brings significant people leadership experience at high-growth technology companies and will lead Later's global people strategy as the company continues to expand across influencer marketing, creator commerce, and AI-powered innovation. "The next chapter of growth at Later will be driven by the talent we attract, develop, and empower across the organization," said Scott Sutton, chief executive officer of Later. "Dena brings the experience and mindset needed to help us scale thoughtfully while we build the strongest team in influencer marketing." Dena joins Later with extensive experience leading organizations through periods of significant growth. Most recently, she held leadership roles at Advisor360°, Drift and LogMeIn, where she built a reputation for developing high-performing cultures and raising the talent bar through periods of rapid growth. "The companies that win the next decade won't just have the best technology," said Dena, chief people officer at Later. "They'll have the highest talent density. That means fewer layers, faster decisions, senior judgment closer to the work, and high-growth people who thrive. Later is building exactly that kind of team, and I'm here to accelerate it." Dena's hire comes as Later strengthens its position as the world's most intelligent influencer marketing company. The team recently surpassed a $2.9 billion annual GMV run rate and is expanding its data-driven offerings with the launch of creator AEO, an industry-leading Answer Engine Optimization designed to help brands improve visibility, recommendation and share of voice across AI powered search.
Later, an influencer marketing company, has appointed Dena Upton as Chief People Officer to lead its global people strategy as it expands across influencer marketing, creator commerce and AI-powered innovation. Upton brings extensive experience from high-growth technology companies, having previously held leadership roles at Advisor360°, Drift and LogMeIn, where she built high-performing cultures during periods of rapid expansion. The appointment comes as Later strengthens its market position, having recently surpassed a $2.9 billion annual GMV run rate. The company recently launched creator AEO, an Answer Engine Optimisation tool designed to help brands improve visibility across AI-powered search platforms. Later serves enterprise clients including Nike, Southwest Airlines and Unilever, combining AI-powered technology with data from billions of social interactions and influencer-driven purchases.
Later, an influencer marketing platform, has reported over 100% year-over-year growth in enterprise business for Q1 2026. The company now powers $2.9 billion in verified influencer-driven purchases and has delivered more than $250 million in cumulative creator payouts. Global brands including Nike, Southwest Airlines, Wayfair and Unilever are using Later's platform to manage creator programmes at scale. The company attributes its growth to brands consolidating their creator and social programmes around data-driven, performance-focused solutions. Later appointed Mohsin Hussain as chief technology officer, effective 1 April 2026. Hussain joins from LiveRamp, where he served as CTO. He will accelerate innovation behind Later EdgeAI, the company's AI-enabled technology that helped marketers manage 70% more creators per campaign and achieve 40% higher engagement last year.